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AuthorTitleYearJournal/ProceedingsReftypeDOI/URL
Mougouei, D., Haque, A., Nurwidyantoro, A., Mougouei, E., Fahmideh, M., Shahin, M., Dharmawan, A., Widodo, T.W. and Dam, H.K. Reasoning About Human Values in GitHub Issues: What Can a Large Language Model Reveal? 2026 International Journal of Human–Computer Interaction
Vol. 42(14), pp. 11395-11423 
article DOI  
BibTeX:
@article{2022-69-2,
  author = {Davoud Mougouei and Amanul Haque and Arif Nurwidyantoro and Elahe Mougouei and Mahdi Fahmideh and Mojtaba Shahin and Andi Dharmawan and Triyogatama Wahyu Widodo and Hoa Khanh Dam},
  title = {Reasoning About Human Values in GitHub Issues: What Can a Large Language Model Reveal?},
  journal = {International Journal of Human–Computer Interaction},
  year = {2026},
  volume = {42},
  number = {14},
  pages = {11395-11423},
  doi = {https://doi.org/10.1080/10447318.2025.2594137}
}
Kaur, K. and Kaur Chahal, K. A Hybrid Deep Learning Framework for Improving User Review Classification for Usability and Security& Privacy 2026 IEEE Access
Vol. 14, pp. 4038-4051 
article DOI  
BibTeX:
@article{2022-69-3,
  author = {Kaur, Kiranbir and Kaur Chahal, Kuljit},
  title = {A Hybrid Deep Learning Framework for Improving User Review Classification for Usability and Security& Privacy},
  journal = {IEEE Access},
  year = {2026},
  volume = {14},
  pages = {4038-4051},
  doi = {https://doi.org/10.1109/ACCESS.2025.3649956}
}
Nirmani, S., Sharma, G., Khalajzadeh, H. and Shahin, M. Age matters: Analyzing age-related discussions in app reviews 2026 Journal of Systems and Software
Vol. 236, pp. 112800 
article DOI  
BibTeX:
@article{2023-3-4,
  author = {Shashiwadana Nirmani and Garima Sharma and Hourieh Khalajzadeh and Mojtaba Shahin},
  title = {Age matters: Analyzing age-related discussions in app reviews},
  journal = {Journal of Systems and Software},
  year = {2026},
  volume = {236},
  pages = {112800},
  doi = {https://doi.org/10.1016/j.jss.2026.112800}
}
He, S., Zhao, Y., Li, Q. and Ma, Y. RGPRec: A RAG-Enhanced GNN for Personalized Task Recommendations in Open-Source Communities 2026 Software: Practice and Experience
Vol. 56(1), pp. 3-25 
article DOI  
BibTeX:
@article{2023-35-5,
  author = {He, Shiyu and Zhao, Yuqi and Li, Qibo and Ma, Yutao},
  title = {RGPRec: A RAG-Enhanced GNN for Personalized Task Recommendations in Open-Source Communities},
  journal = {Software: Practice and Experience},
  year = {2026},
  volume = {56},
  number = {1},
  pages = {3-25},
  doi = {https://doi.org/10.1002/spe.70022}
}
Zhang, N., Gu, X., Shang, J., Lei, H., Liu, C., Huang, Y., Lin, Z. and Li, B. UERR: A unified effective retrieval model for open-source repositories 2026 Journal of Systems and Software
Vol. 240, pp. 112959 
article DOI  
BibTeX:
@article{2023-35-6,
  author = {Neng Zhang and Xin Gu and Jianga Shang and Haishen Lei and Chao Liu and Yiwang Huang and Zheng Lin and Bingnan Li},
  title = {UERR: A unified effective retrieval model for open-source repositories},
  journal = {Journal of Systems and Software},
  year = {2026},
  volume = {240},
  pages = {112959},
  doi = {https://doi.org/10.1016/j.jss.2026.112959}
}
Wang, Y., Meng, S., Fang, Y., Gao, C. and Huang, Y. API Recommendation for Novice Programmers: From Clear Expressions to Effective Results 2026 IEEE Transactions on Reliability
Vol. 75, pp. 991-1005 
article DOI  
BibTeX:
@article{2023-54-5,
  author = {Wang, Yong and Meng, Shuai and Fang, Yingtao and Gao, Cuiyun and Huang, Yourui},
  title = {API Recommendation for Novice Programmers: From Clear Expressions to Effective Results},
  journal = {IEEE Transactions on Reliability},
  year = {2026},
  volume = {75},
  pages = {991-1005},
  doi = {https://doi.org/10.1109/TR.2026.3664018}
}
Ajibode, A., Bangash, A.A., Sghaier, O.B., Adams, B. and Hassan, A.E. On the synchronization between Hugging Face pre-trained language models and their upstream GitHub repository 2026 Empirical Software Engineering
Vol. 31(5), pp. 117 
article DOI  
BibTeX:
@article{2023-58-3,
  author = {Ajibode, Adekunle and Bangash, Abdul Ali and Sghaier, Oussama Ben and Adams, Bram and Hassan, Ahmed E},
  title = {On the synchronization between Hugging Face pre-trained language models and their upstream GitHub repository},
  journal = {Empirical Software Engineering},
  year = {2026},
  volume = {31},
  number = {5},
  pages = {117},
  doi = {https://doi.org/10.1007/s10664-026-10826-2}
}
Hindi, M., Mahmood, Y., Mohammed, L., Bouktif, S. and Mediani, M. Coding Agents in the Wild: Failure Modes and Rejection Patterns of AI-Generated Pull Requests 2026 IEEE Access
Vol. 14, pp. 83075-83094 
article DOI  
BibTeX:
@article{2024-24-1,
  author = {Hindi, Mahd and Mahmood, Yasir and Mohammed, Linda and Bouktif, Salah and Mediani, Mohammed},
  title = {Coding Agents in the Wild: Failure Modes and Rejection Patterns of AI-Generated Pull Requests},
  journal = {IEEE Access},
  year = {2026},
  volume = {14},
  pages = {83075-83094},
  doi = {https://doi.org/10.1109/ACCESS.2026.3696573}
}
Ogenrwot, D. and Businge, J. PatchTrack: A comprehensive analysis of ChatGPT’s influence on pull request outcomes 2026 Empirical Software Engineering
Vol. 31(5), pp. 136 
article DOI  
BibTeX:
@article{2024-25-2,
  author = {Ogenrwot, Daniel and Businge, John},
  title = {PatchTrack: A comprehensive analysis of ChatGPT’s influence on pull request outcomes},
  journal = {Empirical Software Engineering},
  year = {2026},
  volume = {31},
  number = {5},
  pages = {136},
  doi = {https://doi.org/10.1007/s10664-026-10869-5}
}
Lin, H.Y., Thongtanunam, P., Treude, C., Godfrey, M.W., Liu, C. and Charoenwet, W. Leveraging Reviewer Experience in Code Review Comment Generation 2026 ACM Trans. Softw. Eng. Methodol.
Vol. 35(5) 
article DOI  
BibTeX:
@article{2024-56-3,
  author = {Lin, Hong Yi and Thongtanunam, Patanamon and Treude, Christoph and Godfrey, Michael W. and Liu, Chunhua and Charoenwet, Wachiraphan},
  title = {Leveraging Reviewer Experience in Code Review Comment Generation},
  journal = {ACM Trans. Softw. Eng. Methodol.},
  year = {2026},
  volume = {35},
  number = {5},
  doi = {https://doi.org/10.1145/3762183}
}
Sun, K., Kuang, H., Baltes, S., Zhou, X., Zhang, H., Ma, X., Rong, G., Shao, D. and Treude, C. Does AI Code Review Lead to Code Changes? A Case Study of GitHub Actions 2026 IEEE Transactions on Software Engineering, pp. 1-17  article DOI  
BibTeX:
@article{2024-56-5,
  author = {Sun, Kexin and Kuang, Hongyu and Baltes, Sebastian and Zhou, Xin and Zhang, He and Ma, Xiaoxing and Rong, Guoping and Shao, Dong and Treude, Christoph},
  title = {Does AI Code Review Lead to Code Changes? A Case Study of GitHub Actions},
  journal = {IEEE Transactions on Software Engineering},
  year = {2026},
  pages = {1-17},
  doi = {https://doi.org/10.1109/TSE.2026.3688237}
}
Ehsani, R., Pathak, S., Parra, E., Haiduc, S. and Chatterjee, P. What characteristics make ChatGPT effective for software issue resolution? An empirical study of task, project, and conversational signals in GitHub issues 2026 Empirical software engineering
Vol. 31(1), pp. 22 
article DOI  
BibTeX:
@article{2024-62-12,
  author = {Ehsani, Ramtin and Pathak, Sakshi and Parra, Esteban and Haiduc, Sonia and Chatterjee, Preetha},
  title = {What characteristics make ChatGPT effective for software issue resolution? An empirical study of task, project, and conversational signals in GitHub issues},
  journal = {Empirical software engineering},
  year = {2026},
  volume = {31},
  number = {1},
  pages = {22},
  doi = {https://doi.org/10.1007/s10664-025-10745-8}
}
Fathollahzadeh, P., El Mezouar, M., Li, H., Zou, Y. and Hassan, A.E. Towards Refining Developer Questions Using LLM-Based Named Entity Recognition for Developer Chatroom Conversations 2026 IEEE Transactions on Software Engineering
Vol. 52(4), pp. 1391-1406 
article DOI  
BibTeX:
@article{2024-62-14,
  author = {Fathollahzadeh, Pouya and El Mezouar, Mariam and Li, Hao and Zou, Ying and Hassan, Ahmed E.},
  title = {Towards Refining Developer Questions Using LLM-Based Named Entity Recognition for Developer Chatroom Conversations},
  journal = {IEEE Transactions on Software Engineering},
  year = {2026},
  volume = {52},
  number = {4},
  pages = {1391-1406},
  doi = {https://doi.org/10.1109/TSE.2026.3663599}
}
Ploscă, T.-R., Pescaru, A.-M., Rus, B.-V. and Curiac, D.-I. Individual Software Expertise Formalization and Assessment from Project Management Tool Databases 2026 Computers, Materials & Continua
Vol. 86(1), pp. 1-23 
article DOI  
BibTeX:
@article{2024-62-16,
  author = {Ploscă, Traian-Radu and Pescaru, Alexandru-Mihai and Rus, Bianca-Valeria and Curiac, Daniel-Ioan},
  title = {Individual Software Expertise Formalization and Assessment from Project Management Tool Databases},
  journal = {Computers, Materials & Continua},
  year = {2026},
  volume = {86},
  number = {1},
  pages = {1-23},
  doi = {https://doi.org/10.32604/cmc.2025.069707}
}
Colavito, G., Lanubile, F., Novielli, N., Arreza, C. and Shi, Y. Issue classification with LLMs: An empirical study of the NASA flight software systems 2026 Journal of Systems and Software
Vol. 237, pp. 112851 
article DOI  
BibTeX:
@article{2024-62-5,
  author = {Giuseppe Colavito and Filippo Lanubile and Nicole Novielli and Christopher Arreza and Ying Shi},
  title = {Issue classification with LLMs: An empirical study of the NASA flight software systems},
  journal = {Journal of Systems and Software},
  year = {2026},
  volume = {237},
  pages = {112851},
  doi = {https://doi.org/10.1016/j.jss.2026.112851}
}
Alturayeif, N., Ahmad, I. and Hassine, J. TraceLLM: leveraging large language models with prompt engineering for enhanced requirements traceability 2026 Requirements Engineering
Vol. 31(1), pp. 6 
article DOI  
BibTeX:
@article{2024-84-4,
  author = {Alturayeif, Nouf and Ahmad, Irfan and Hassine, Jameleddine},
  title = {TraceLLM: leveraging large language models with prompt engineering for enhanced requirements traceability},
  journal = {Requirements Engineering},
  year = {2026},
  volume = {31},
  number = {1},
  pages = {6},
  doi = {https://doi.org/10.1007/s00766-026-00460-1}
}
Orel, D., Azizov, D., Paul, I., Wang, Y., Gurevych, I. and Nakov, P. AICD Bench: A Challenging Benchmark for AI-Generated Code Detection 2026 Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers), pp. 6913-6938  inproceedings DOI  
BibTeX:
@inproceedings{2024-93-2,
  author = {Orel, Daniil and Azizov, Dilshod and Paul, Indraneil and Wang, Yuxia and Gurevych, Iryna and Nakov, Preslav},
  title = {AICD Bench: A Challenging Benchmark for AI-Generated Code Detection},
  booktitle = {Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)},
  year = {2026},
  pages = {6913-6938},
  doi = {https://doi.org/10.18653/v1/2026.eacl-long.325}
}
Li, H., Masri, H., Cogo, F.R., Bangash, A.A., Adams, B. and Hassan, A.E. Understanding Prompt Management in GitHub Repositories: A Call for Best Practices 2026 IEEE Software
Vol. 43(2), pp. 85-93 
article DOI  
BibTeX:
@article{2025-98-1,
  author = {Li, Hao and Masri, Hicham and Cogo, Filipe R. and Bangash, Abdul Ali and Adams, Bram and Hassan, Ahmed E.},
  title = {Understanding Prompt Management in GitHub Repositories: A Call for Best Practices},
  journal = {IEEE Software},
  year = {2026},
  volume = {43},
  number = {2},
  pages = {85-93},
  doi = {https://doi.org/10.1109/MS.2025.3644251}
}
Alfayez, R. and Binkhonain, M. Sentiment analysis for software engineering: How far can zero-shot learning (ZSL) go? 2026 Information and Software Technology
Vol. 191, pp. 107971 
article DOI  
BibTeX:
@article{SS1-1-2,
  author = {Reem Alfayez and Manal Binkhonain},
  title = {Sentiment analysis for software engineering: How far can zero-shot learning (ZSL) go?},
  journal = {Information and Software Technology},
  year = {2026},
  volume = {191},
  pages = {107971},
  doi = {https://doi.org/10.1016/j.infsof.2025.107971}
}
Coutinho, D., Braga, B., Canuto, T., Pereira, J.A., Assunção, W.K., Steinmacher, I., Gerosa, M. and Garcia, A. Leveraging large language models for sentiment analysis in GitHub pull request discussions 2026 Empirical Software Engineering
Vol. 31(5), pp. 140 
article DOI  
BibTeX:
@article{SS1-1-3,
  author = {Coutinho, Daniel and Braga, Breno and Canuto, Theo and Pereira, Juliana Alves and Assunção, Wesley KG and Steinmacher, Igor and Gerosa, Marco and Garcia, Alessandro},
  title = {Leveraging large language models for sentiment analysis in GitHub pull request discussions},
  journal = {Empirical Software Engineering},
  year = {2026},
  volume = {31},
  number = {5},
  pages = {140},
  doi = {https://doi.org/10.1007/s10664-026-10868-6}
}
Vaccargiu, M., Bartolucci, S., Novielli, N., Ortu, M., Tonelli, R. and Destefanis, G. Emotional expression in open- source: How project function shapes communication 2026 Information and Software Technology
Vol. 191, pp. 108003 
article DOI  
BibTeX:
@article{SS1-14-5,
  author = {Matteo Vaccargiu and Silvia Bartolucci and Nicole Novielli and Marco Ortu and Roberto Tonelli and Giuseppe Destefanis},
  title = {Emotional expression in open- source: How project function shapes communication},
  journal = {Information and Software Technology},
  year = {2026},
  volume = {191},
  pages = {108003},
  doi = {https://doi.org/10.1016/j.infsof.2025.108003}
}
Obaidi, M., Qengaj, K., Deters, H., Droste, J., Herrmann, M., Schneider, K. and Klünder, J. Understanding Usefulness in Developer Explanations on Stack Overflow 2026 International Working Conference on Requirements Engineering: Foundation for Software Quality, pp. 126-142  inproceedings DOI  
BibTeX:
@inproceedings{SS1-14-7,
  author = {Obaidi, Martin and Qengaj, Kushtrim and Deters, Hannah and Droste, Jakob and Herrmann, Marc and Schneider, Kurt and Klünder, Jil},
  title = {Understanding Usefulness in Developer Explanations on Stack Overflow},
  booktitle = {International Working Conference on Requirements Engineering: Foundation for Software Quality},
  year = {2026},
  pages = {126-142},
  doi = {https://doi.org/10.1007/978-3-032-21423-2_9}
}
Abedu, S., Khatoonabadi, S. and Shihab, E. Synergizing LLMs and Knowledge Graphs: A Novel Approach to Software Repository-Related Question Answering 2026 ACM Trans. Softw. Eng. Methodol.  article DOI  
BibTeX:
@article{SS1-15-2,
  author = {Abedu, Samuel and Khatoonabadi, SayedHassan and Shihab, Emad},
  title = {Synergizing LLMs and Knowledge Graphs: A Novel Approach to Software Repository-Related Question Answering},
  journal = {ACM Trans. Softw. Eng. Methodol.},
  year = {2026},
  doi = {https://doi.org/10.1145/3796510}
}
Yang, Z., Lin, H., Yu, X., Keung, J.W., Liu, S., Chan, P.Y.P., Sun, Y. and Zhang, F. R^2ComSync: improving code-comment synchronization with in-context learning and reranking 2026 Empirical Software Engineering
Vol. 31(4), pp. 84 
article DOI  
BibTeX:
@article{SS1-5-1,
  author = {Yang, Zhen and Lin, Hongyi and Yu, Xiao and Keung, Jacky Wai and Liu, Shuo and Chan, Pak Yuen Patrick and Sun, Yicheng and Zhang, Fengji},
  title = {R^2ComSync: improving code-comment synchronization with in-context learning and reranking},
  journal = {Empirical Software Engineering},
  year = {2026},
  volume = {31},
  number = {4},
  pages = {84},
  doi = {https://doi.org/10.1007/s10664-025-10800-4}
}
Yang, W., Lan, T., Liu, L., Chen, W., Zhu, T., Wen, S. and Zhang, X. CASPER: Contrastive Approach for Smart Ponzi Scheme Detecter With More Negative Samples 2026 IEEE Transactions on Dependable and Secure Computing
Vol. 23(2), pp. 3147-3160 
article DOI  
BibTeX:
@article{SS1-6-1,
  author = {Yang, Weijia and Lan, Tian and Liu, Leyuan and Chen, Wei and Zhu, Tianqing and Wen, Sheng and Zhang, Xiaosong},
  title = {CASPER: Contrastive Approach for Smart Ponzi Scheme Detecter With More Negative Samples},
  journal = {IEEE Transactions on Dependable and Secure Computing},
  year = {2026},
  volume = {23},
  number = {2},
  pages = {3147-3160},
  doi = {https://doi.org/10.1109/TDSC.2025.3633167}
}
Ye, M., Han, D., Chang, C.-C., Tang, M., Chen, W. and Feng, X. MF2LLM: A Multi-View Multi-Modal Fusion Framework with Large Language Models for Ponzi Scheme Detection on Ethereum 2026 IEEE Internet of Things Journal, pp. 1-1  article DOI  
BibTeX:
@article{SS1-6-2,
  author = {Ye, Mingshun and Han, Dezhi and Chang, Chin-Chen and Tang, Mingdong and Chen, Weili and Feng, Xingyu},
  title = {MF2LLM: A Multi-View Multi-Modal Fusion Framework with Large Language Models for Ponzi Scheme Detection on Ethereum},
  journal = {IEEE Internet of Things Journal},
  year = {2026},
  pages = {1-1},
  doi = {https://doi.org/10.1109/JIOT.2026.3694119}
}
Rezaei Nasab, A., Dashti, M., Shahin, M., Zahedi, M., Khalajzadeh, H., Arora, C. and Liang, P. Fairness Concerns in App Reviews: A Study on AI-Based Mobile Apps 2025 ACM Trans. Softw. Eng. Methodol.
Vol. 34(2) 
article DOI  
BibTeX:
@article{2022-69-4,
  author = {Rezaei Nasab, Ali and Dashti, Maedeh and Shahin, Mojtaba and Zahedi, Mansooreh and Khalajzadeh, Hourieh and Arora, Chetan and Liang, Peng},
  title = {Fairness Concerns in App Reviews: A Study on AI-Based Mobile Apps},
  journal = {ACM Trans. Softw. Eng. Methodol.},
  year = {2025},
  volume = {34},
  number = {2},
  doi = {https://doi.org/10.1145/3690633}
}
Carter, B.C., Contreras, J.R., Llanes Villegas, C.A., Acharya, P., Utzerath, J., Farner, A.O., Jenkins, H., Johnson, D., Penney, J., Steinmacher, I., Gerosa, M.A. and Santos, F. SkillScope: A Tool to Predict Fine-Grained Skills Needed to Solve Issues on GitHub 2025 2025 IEEE/ACM International Workshop on Natural Language-Based Software Engineering (NLBSE), pp. 9-12  inproceedings DOI  
BibTeX:
@inproceedings{2023-35-10,
  author = {Carter, Benjamin C. and Contreras, Jonathan Rivas and Llanes Villegas, Carlos A. and Acharya, Pawan and Utzerath, Jack and Farner, Adonijah O. and Jenkins, Hunter and Johnson, Dylan and Penney, Jacob and Steinmacher, Igor and Gerosa, Marco A. and Santos, Fabio},
  title = {SkillScope: A Tool to Predict Fine-Grained Skills Needed to Solve Issues on GitHub},
  booktitle = {2025 IEEE/ACM International Workshop on Natural Language-Based Software Engineering (NLBSE)},
  year = {2025},
  pages = {9-12},
  doi = {https://doi.org/10.1109/NLBSE66842.2025.00007}
}
Zhou, J. and Wang, T. DRCI: A Developer Recommendation Method for Issues Using Comprehensive Information 2025 2025 8th International Conference on Advanced Algorithms and Control Engineering (ICAACE), pp. 2581-2585  inproceedings DOI  
BibTeX:
@inproceedings{2023-35-3,
  author = {Zhou, Jie and Wang, Tao},
  title = {DRCI: A Developer Recommendation Method for Issues Using Comprehensive Information},
  booktitle = {2025 8th International Conference on Advanced Algorithms and Control Engineering (ICAACE)},
  year = {2025},
  pages = {2581-2585},
  doi = {https://doi.org/10.1109/ICAACE65325.2025.11020526}
}
Hannan, M.A., Rakib, M.H., Reza, K.M. and Santos, F. Contribution History as a Key Feature in OSS Task Recommendation: An LLM-Based Empirical Study 2025 2025 ACM/IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM), pp. 365-371  inproceedings DOI  
BibTeX:
@inproceedings{2023-35-8,
  author = {Hannan, Md Abdul and Rakib, Mohammad Habibullah and Reza, Khondaker Masfiq and Santos, Fabio},
  title = {Contribution History as a Key Feature in OSS Task Recommendation: An LLM-Based Empirical Study},
  booktitle = {2025 ACM/IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM)},
  year = {2025},
  pages = {365-371},
  doi = {https://doi.org/10.1109/ESEM64174.2025.00070}
}
Aracena, G., Luster, K., Santos, F., Steinmacher, I. and Gerosa, M.A. Applying large language models to issue classification: Revisiting with extended data and new models 2025 Science of Computer Programming
Vol. 246, pp. 103333 
article DOI  
BibTeX:
@article{2023-35-9,
  author = {Gabriel Aracena and Kyle Luster and Fabio Santos and Igor Steinmacher and Marco A. Gerosa},
  title = {Applying large language models to issue classification: Revisiting with extended data and new models},
  journal = {Science of Computer Programming},
  year = {2025},
  volume = {246},
  pages = {103333},
  doi = {https://doi.org/10.1016/j.scico.2025.103333}
}
Yu, H., Han, X., Chen, S., Feng, X., Sun, G. and Yang, W. DPEfficR: a data and parameter efficient approach for training neural API recommendation model 2025 Automated Software Engineering
Vol. 32(2), pp. 64 
article DOI  
BibTeX:
@article{2023-54-4,
  author = {Yu, Haibo and Han, Xiaohong and Chen, Simin and Feng, Xiaoning and Sun, Guangzhao and Yang, Wei},
  title = {DPEfficR: a data and parameter efficient approach for training neural API recommendation model},
  journal = {Automated Software Engineering},
  year = {2025},
  volume = {32},
  number = {2},
  pages = {64},
  doi = {https://doi.org/10.1007/s10515-025-00530-8}
}
Bibi, N., Tariq, M.U., Ullah, Z., Babar, M. and Khan, Z. Enhancing code search through query expansion: A fusion of LSTM with GloVe and BERT model (ECSQE) 2025 Results in Engineering
Vol. 27, pp. 105979 
article DOI  
BibTeX:
@article{2023-54-6,
  author = {Nazia Bibi and Muhammad Usman Tariq and Zabeeh Ullah and Muhammad Babar and Zahid Khan},
  title = {Enhancing code search through query expansion: A fusion of LSTM with GloVe and BERT model (ECSQE)},
  journal = {Results in Engineering},
  year = {2025},
  volume = {27},
  pages = {105979},
  doi = {https://doi.org/10.1016/j.rineng.2025.105979}
}
Bouaziz, A., Saied, M.A., Sayagh, M., Ouni, A. and Mkaouer, M.W. An Empirical Study on Microservices Deployment Trends, Topics and Challenges in Stack Overflow 2025 2025 IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER), pp. 113-123  inproceedings DOI  
BibTeX:
@inproceedings{2023-58-1,
  author = {Bouaziz, Amina and Saied, Mohamed Aymen and Sayagh, Mohammed and Ouni, Ali and Mkaouer, Mohamed Wiem},
  title = {An Empirical Study on Microservices Deployment Trends, Topics and Challenges in Stack Overflow},
  booktitle = {2025 IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER)},
  year = {2025},
  pages = {113-123},
  doi = {https://doi.org/10.1109/SANER64311.2025.00019}
}
Nastos, D.-N., Diamantopoulos, T., Tosi, D., Tropeano, M. and Symeonidis, A. Towards an Interpretable Analysis for Estimating the Resolution Time of Software Issues 2025 Proceedings of the 29th International Conference on Evaluation and Assessment in Software Engineering, pp. 757–762  inproceedings DOI  
BibTeX:
@inproceedings{2023-58-4,
  author = {Nastos, Dimitrios-Nikitas and Diamantopoulos, Themistoklis and Tosi, Davide and Tropeano, Martina and Symeonidis, Andreas},
  title = {Towards an Interpretable Analysis for Estimating the Resolution Time of Software Issues},
  booktitle = {Proceedings of the 29th International Conference on Evaluation and Assessment in Software Engineering},
  year = {2025},
  pages = {757–762},
  doi = {https://doi.org/10.1145/3756681.3757031}
}
Akbarpour, N., Saleem Mirza, A., Raoofian, E., Fard, F. and Rodr\iguez-Pérez, G. Unveiling Ruby: Insights from Stack Overflow and Developer Survey 2025 Proceedings of the 29th International Conference on Evaluation and Assessment in Software Engineering, pp. 580–591  inproceedings DOI  
BibTeX:
@inproceedings{2023-58-5,
  author = {Akbarpour, Nikta and Saleem Mirza, Ahmad and Raoofian, Erfan and Fard, Fatemeh and Rodr\iguez-Pérez, Gema},
  title = {Unveiling Ruby: Insights from Stack Overflow and Developer Survey},
  booktitle = {Proceedings of the 29th International Conference on Evaluation and Assessment in Software Engineering},
  year = {2025},
  pages = {580–591},
  doi = {https://doi.org/10.1145/3756681.3756955}
}
Liu, D., Upadhyay, K., Chhetri, V., Siddique, A. and Farooq, U. A Large-Scale Study on the Development and Issues of Multi-Agent AI Systems 2025 2025 IEEE International Conference on Big Data (BigData), pp. 7785-7792  inproceedings DOI  
BibTeX:
@inproceedings{2024-14-2,
  author = {Liu, Daniel and Upadhyay, Krishna and Chhetri, Vinaik and Siddique, A.B. and Farooq, Umar},
  title = {A Large-Scale Study on the Development and Issues of Multi-Agent AI Systems},
  booktitle = {2025 IEEE International Conference on Big Data (BigData)},
  year = {2025},
  pages = {7785-7792},
  doi = {https://doi.org/10.1109/BigData66926.2025.11402104}
}
Shi, J. and Jiang, S. Toward open-source foundation model ecosystem: Impact evaluation framework and promotion mechanism 2025 Technological Forecasting and Social Change
Vol. 221, pp. 124328 
article DOI  
BibTeX:
@article{2024-14-4,
  author = {Jincheng Shi and Shan Jiang},
  title = {Toward open-source foundation model ecosystem: Impact evaluation framework and promotion mechanism},
  journal = {Technological Forecasting and Social Change},
  year = {2025},
  volume = {221},
  pages = {124328},
  doi = {https://doi.org/10.1016/j.techfore.2025.124328}
}
Toma, T.R., Grewal, B. and Bezemer, C.-P. Answering User Questions About Machine Learning Models Through Standardized Model Cards 2025 2025 IEEE/ACM 47th International Conference on Software Engineering (ICSE), pp. 1488-1500  inproceedings DOI  
BibTeX:
@inproceedings{2024-14-5,
  author = {Toma, Tajkia Rahman and Grewal, Balreet and Bezemer, Cor-Paul},
  title = {Answering User Questions About Machine Learning Models Through Standardized Model Cards},
  booktitle = {2025 IEEE/ACM 47th International Conference on Software Engineering (ICSE)},
  year = {2025},
  pages = {1488-1500},
  doi = {https://doi.org/10.1109/ICSE55347.2025.00066}
}
Upadhyay, K., Chhetri, V., Siddique, A. and Farooq, U. Analyzing the Evolution and Maintenance of Quantum Software Repositories 2025 2025 IEEE International Conference on Quantum Software (QSW), pp. 173-184  inproceedings DOI  
BibTeX:
@inproceedings{2024-14-6,
  author = {Upadhyay, Krishna and Chhetri, Vinaik and Siddique, A.B. and Farooq, Umar},
  title = {Analyzing the Evolution and Maintenance of Quantum Software Repositories},
  booktitle = {2025 IEEE International Conference on Quantum Software (QSW)},
  year = {2025},
  pages = {173-184},
  doi = {https://doi.org/10.1109/QSW67625.2025.00029}
}
Salinas, M.T., González, A. and Mart\inez-Fernández, S. Exploring the Role of Women in Hugging Face Organizations 2025 Proceedings of the 28th Ibero-American Conference on Software Engineering  inproceedings DOI  
BibTeX:
@inproceedings{2024-14-8,
  author = {Salinas, Maria Tubella and González, Alexandra and Mart\inez-Fernández, Silverio},
  title = {Exploring the Role of Women in Hugging Face Organizations},
  booktitle = {Proceedings of the 28th Ibero-American Conference on Software Engineering},
  year = {2025},
  doi = {https://doi.org/10.5753/cibse.2025.35293.}
}
Hnich, B., Mrad, A.B., Thiombiano, A.M.O. and Mkaouer, M.W. From apologies to insights: extracting topics from ChatGPT apologetic responses 2025 Journal of Decision Systems
Vol. 34(1), pp. 2438610 
article DOI  
BibTeX:
@article{2024-24-2,
  author = {Brahim Hnich and Ali Ben Mrad and Abdoul Majid O. Thiombiano and Mohamed Wiem Mkaouer},
  title = {From apologies to insights: extracting topics from ChatGPT apologetic responses},
  journal = {Journal of Decision Systems},
  year = {2025},
  volume = {34},
  number = {1},
  pages = {2438610},
  doi = {https://doi.org/10.1080/12460125.2024.2438610}
}
Della Porta, A., Lambiase, S. and Palomba, F. Do Prompt Patterns Affect Code Quality? A First Empirical Assessment of ChatGPT-Generated Code 2025 Proceedings of the 29th International Conference on Evaluation and Assessment in Software Engineering, pp. 181–192  inproceedings DOI  
BibTeX:
@inproceedings{2024-24-3,
  author = {Della Porta, Antonio and Lambiase, Stefano and Palomba, Fabio},
  title = {Do Prompt Patterns Affect Code Quality? A First Empirical Assessment of ChatGPT-Generated Code},
  booktitle = {Proceedings of the 29th International Conference on Evaluation and Assessment in Software Engineering},
  year = {2025},
  pages = {181–192},
  doi = {https://doi.org/10.1145/3756681.3756938}
}
Saleem, S., Asim, M.N., Elst, L.V. and Dengel, A. Generative language models potential for requirement engineering applications: insights into current strengths and limitations 2025 Complex & Intelligent Systems
Vol. 11(6), pp. 278 
article DOI  
BibTeX:
@article{2024-24-4,
  author = {Saleem, Summra and Asim, Muhammad Nabeel and Elst, Ludger Van and Dengel, Andreas},
  title = {Generative language models potential for requirement engineering applications: insights into current strengths and limitations},
  journal = {Complex & Intelligent Systems},
  year = {2025},
  volume = {11},
  number = {6},
  pages = {278},
  doi = {https://doi.org/10.1007/s40747-024-01707-6}
}
Das, J.K., Mondal, S. and Roy, C.K. Why Do Developers Engage with ChatGPT in Issue-Tracker? Investigating Usage and Reliance on ChatGPT-Generated Code 2025 2025 IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER), pp. 68-79  inproceedings DOI  
BibTeX:
@inproceedings{2024-25-1,
  author = {Das, Joy Krishan and Mondal, Saikat and Roy, Chanchal K.},
  title = {Why Do Developers Engage with ChatGPT in Issue-Tracker? Investigating Usage and Reliance on ChatGPT-Generated Code},
  booktitle = {2025 IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER)},
  year = {2025},
  pages = {68-79},
  doi = {https://doi.org/10.1109/SANER64311.2025.00015}
}
Swaraj, A., Kumar, S. and Sharma, L.M. ChatGPT Choreography: Discovering Developer Dialogues and Potential Software Development Lifecycle Applications 2025 Computer
Vol. 58(7), pp. 66-78 
article DOI  
BibTeX:
@article{2024-25-3,
  author = {Swaraj, Aman and Kumar, Sandeep and Sharma, Lalit Mohan},
  title = {ChatGPT Choreography: Discovering Developer Dialogues and Potential Software Development Lifecycle Applications},
  journal = {Computer},
  year = {2025},
  volume = {58},
  number = {7},
  pages = {66-78},
  doi = {https://doi.org/10.1109/MC.2025.3532347}
}
Acharya, J. and Ginde, G. Can We Enhance Bug Report Quality Using LLMs?: An Empirical Study of LLM-Based Bug Report Generation 2025 Proceedings of the 29th International Conference on Evaluation and Assessment in Software Engineering, pp. 994–1003  inproceedings DOI  
BibTeX:
@inproceedings{2024-45-10,
  author = {Acharya, Jagrit and Ginde, Gouri},
  title = {Can We Enhance Bug Report Quality Using LLMs?: An Empirical Study of LLM-Based Bug Report Generation},
  booktitle = {Proceedings of the 29th International Conference on Evaluation and Assessment in Software Engineering},
  year = {2025},
  pages = {994–1003},
  doi = {https://doi.org/10.1145/3756681.3756995}
}
Zhang, J., Peng, M. and Zhang, Y. An Empirical Study of Transformer Models on Automatically Templating GitHub Issue Reports 2025 2025 IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER), pp. 615-626  inproceedings DOI  
BibTeX:
@inproceedings{2024-45-8,
  author = {Zhang, Jin and Peng, Maoqi and Zhang, Yang},
  title = {An Empirical Study of Transformer Models on Automatically Templating GitHub Issue Reports},
  booktitle = {2025 IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER)},
  year = {2025},
  pages = {615-626},
  doi = {https://doi.org/10.1109/SANER64311.2025.00064}
}
Cobos, S. and Izquierdo, J.L.C. A Bot-Based Approach to Manage Codes of Conduct in Open-Source Projects 2025 2025 IEEE/ACM 47th International Conference on Software Engineering: Software Engineering in Society (ICSE-SEIS), pp. 59-69  inproceedings DOI  
BibTeX:
@inproceedings{2024-56-1,
  author = {Cobos, Sergio and Izquierdo, Javier Luis Cánovas},
  title = {A Bot-Based Approach to Manage Codes of Conduct in Open-Source Projects},
  booktitle = {2025 IEEE/ACM 47th International Conference on Software Engineering: Software Engineering in Society (ICSE-SEIS)},
  year = {2025},
  pages = {59-69},
  doi = {https://doi.org/10.1109/ICSE-SEIS66351.2025.00012}
}
Nguyen, L., Liu, C., Lin, H.Y. and Thongtanunam, P. Exploring the Potential of Large Language Models in Fine-Grained Review Comment Classification 2025 2025 IEEE International Conference on Source Code Analysis & Manipulation (SCAM), pp. 43-54  inproceedings DOI  
BibTeX:
@inproceedings{2024-56-2,
  author = {Nguyen, Linh and Liu, Chunhua and Lin, Hong Yi and Thongtanunam, Patanamon},
  title = {Exploring the Potential of Large Language Models in Fine-Grained Review Comment Classification},
  booktitle = {2025 IEEE International Conference on Source Code Analysis & Manipulation (SCAM)},
  year = {2025},
  pages = {43-54},
  doi = {https://doi.org/10.1109/SCAM67354.2025.00012}
}
Naik, A., Alenius, M., Fried, D. and Rose, C. CRScore: Grounding Automated Evaluation of Code Review Comments in Code Claims and Smells 2025 Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), pp. 9049-9076  inproceedings DOI  
BibTeX:
@inproceedings{2024-56-4,
  author = {Naik, Atharva and Alenius, Marcus and Fried, Daniel and Rose, Carolyn},
  title = {CRScore: Grounding Automated Evaluation of Code Review Comments in Code Claims and Smells},
  booktitle = {Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)},
  year = {2025},
  pages = {9049-9076},
  doi = {https://doi.org/10.18653/v1/2025.naacl-long.457}
}
Aðalsteinsson, F.S., Magnússon, B.B., Milicevic, M., Davidsson, A.N. and Cheng, C.-H. Rethinking Code Review Workflows with LLM Assistance: An Empirical Study 2025 2025 ACM/IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM), pp. 488-497  inproceedings DOI  
BibTeX:
@inproceedings{2024-56-6,
  author = {Aðalsteinsson, Fannar Steinn and Magnússon, Björn Borgar and Milicevic, Mislav and Davidsson, Adam Nirving and Cheng, Chih-Hong},
  title = {Rethinking Code Review Workflows with LLM Assistance: An Empirical Study},
  booktitle = {2025 ACM/IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM)},
  year = {2025},
  pages = {488-497},
  doi = {https://doi.org/10.1109/ESEM64174.2025.00013}
}
Gao, H., Treude, C. and Zahedi, M. Adapting Installation Instructions in Rapidly Evolving Software Ecosystems 2025 IEEE Transactions on Software Engineering
Vol. 51(4), pp. 1334-1357 
article DOI  
BibTeX:
@article{2024-56-7,
  author = {Gao, Haoyu and Treude, Christoph and Zahedi, Mansooreh},
  title = {Adapting Installation Instructions in Rapidly Evolving Software Ecosystems},
  journal = {IEEE Transactions on Software Engineering},
  year = {2025},
  volume = {51},
  number = {4},
  pages = {1334-1357},
  doi = {https://doi.org/10.1109/TSE.2025.3552614}
}
Goldman, S., Lin, H.Y., Pasuksmit, J., Thongtanunam, P., Tantithamthavorn, K., Wang, Z., Zhang, R., Behnaz, A., Jiang, F., Siers, M., Jiang, R., Buller, M., Jeong, M. and Wu, M. What Types of Code Review Comments Do Developers Most Frequently Resolve? 2025 2025 40th IEEE/ACM International Conference on Automated Software Engineering (ASE), pp. 3760-3765  inproceedings DOI  
BibTeX:
@inproceedings{2024-56-8,
  author = {Goldman, Saul and Lin, Hong Yi and Pasuksmit, Jirat and Thongtanunam, Patanamon and Tantithamthavorn, Kla and Wang, Zhe and Zhang, Ray and Behnaz, Ali and Jiang, Fan and Siers, Michael and Jiang, Ryan and Buller, Mike and Jeong, Minwoo and Wu, Ming},
  title = {What Types of Code Review Comments Do Developers Most Frequently Resolve?},
  booktitle = {2025 40th IEEE/ACM International Conference on Automated Software Engineering (ASE)},
  year = {2025},
  pages = {3760-3765},
  doi = {https://doi.org/10.1109/ASE63991.2025.00312}
}
Gunathilaka, S. and de Silva, N. Automatic Analysis of App Reviews Using LLMs 2025 Proceedings of the 17th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART, pp. 828-839  inproceedings DOI  
BibTeX:
@inproceedings{2024-62-11,
  author = {Sadeep Gunathilaka and Nisansa de Silva},
  title = {Automatic Analysis of App Reviews Using LLMs},
  booktitle = {Proceedings of the 17th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART},
  year = {2025},
  pages = {828-839},
  doi = {https://doi.org/10.5220/0013375600003890}
}
Ramalho, C.T., Garcia, A., Pereira, J.A., Assunção, W.K.G., Coutinho, D., Barbosa, C., Lucena, C. and Ito, R. On the Use of GPT to Reveal Common Questions in Developers’ Discussions 2025 2025 IEEE 49th Annual Computers, Software, and Applications Conference (COMPSAC), pp. 1677-1682  inproceedings DOI  
BibTeX:
@inproceedings{2024-62-13,
  author = {Ramalho, Camila T. and Garcia, Alessandro and Pereira, Juliana Alves and Assunção, Wesley K. G. and Coutinho, Daniel and Barbosa, Caio and Lucena, Carlos and Ito, Rodrigo},
  title = {On the Use of GPT to Reveal Common Questions in Developers’ Discussions},
  booktitle = {2025 IEEE 49th Annual Computers, Software, and Applications Conference (COMPSAC)},
  year = {2025},
  pages = {1677-1682},
  doi = {https://doi.org/10.1109/COMPSAC65507.2025.00226}
}
Zhao, Y., Zeng, Z., Huang, Z. and Gong, L. Dialogue Framework for Bug Issue Types Classification in Deep Learning-oriented Projects Based on Large Language Model 2025 2025 32nd Asia-Pacific Software Engineering Conference (APSEC), pp. 479-490  inproceedings DOI  
BibTeX:
@inproceedings{2024-62-3,
  author = {Zhao, Yu and Zeng, Zixuan and Huang, Zhiqiu and Gong, Lina},
  title = {Dialogue Framework for Bug Issue Types Classification in Deep Learning-oriented Projects Based on Large Language Model},
  booktitle = {2025 32nd Asia-Pacific Software Engineering Conference (APSEC)},
  year = {2025},
  pages = {479-490},
  doi = {https://doi.org/10.1109/APSEC66846.2025.00053}
}
Wang, Y., Han, Z., Huang, Q. and Jiang, B. Why Not Fix This Bug? Characterizing and Identifying Bug-Tagged Issues That Are Truly Fixed by Developers 2025 Journal of Software: Evolution and Process
Vol. 37(2), pp. e70008 
article DOI  
BibTeX:
@article{2024-62-4,
  author = {Wang, Ye and Han, Zhengru and Huang, Qiao and Jiang, Bo},
  title = {Why Not Fix This Bug? Characterizing and Identifying Bug-Tagged Issues That Are Truly Fixed by Developers},
  journal = {Journal of Software: Evolution and Process},
  year = {2025},
  volume = {37},
  number = {2},
  pages = {e70008},
  doi = {https://doi.org/10.1002/smr.70008}
}
Heo, J. and Lee, S. A Study on Applying Large Language Models to Issue Classification 2025 2025 IEEE/ACM 33rd International Conference on Program Comprehension (ICPC), pp. 1-11  inproceedings DOI  
BibTeX:
@inproceedings{2024-62-6,
  author = {Heo, Jueun and Lee, Seonah},
  title = {A Study on Applying Large Language Models to Issue Classification},
  booktitle = {2025 IEEE/ACM 33rd International Conference on Program Comprehension (ICPC)},
  year = {2025},
  pages = {1-11},
  doi = {https://doi.org/10.1109/ICPC66645.2025.00022}
}
Ouf, M., Li, H., Zhang, M. and Guizani, M. Reverse Engineering User Stories from Code using Large Language Models 2025 2025 IEEE International Conference on Collaborative Advances in Software and COmputiNg (CASCON), pp. 504-509  inproceedings DOI  
BibTeX:
@inproceedings{2024-62-8,
  author = {Ouf, Mohamed and Li, Haoyu and Zhang, Michael and Guizani, Mariam},
  title = {Reverse Engineering User Stories from Code using Large Language Models},
  booktitle = {2025 IEEE International Conference on Collaborative Advances in Software and COmputiNg (CASCON)},
  year = {2025},
  pages = {504-509},
  doi = {https://doi.org/10.1109/CASCON66301.2025.00080}
}
Sorathiya, A. and Ginde, G. SAGE: A Context-Aware Approach for Mining Privacy Requirements Relevant Reviews from Mental Health Apps 2025 2025 IEEE 33rd International Requirements Engineering Conference Workshops (REW), pp. 259-268  inproceedings DOI  
BibTeX:
@inproceedings{2024-62-9,
  author = {Sorathiya, Aakash and Ginde, Gouri},
  title = {SAGE: A Context-Aware Approach for Mining Privacy Requirements Relevant Reviews from Mental Health Apps},
  booktitle = {2025 IEEE 33rd International Requirements Engineering Conference Workshops (REW)},
  year = {2025},
  pages = {259-268},
  doi = {https://doi.org/10.1109/REW66121.2025.00039}
}
Swaraj, A. and Kumar, S. Bridging AI and Human Knowledge: Towards a Deeper Understanding of Stack Overflow and ChatGPT 2025 Proceedings of the 29th International Conference on Evaluation and Assessment in Software Engineering, pp. 976–985  inproceedings DOI  
BibTeX:
@inproceedings{2024-7-1,
  author = {Swaraj, Aman and Kumar, Sandeep},
  title = {Bridging AI and Human Knowledge: Towards a Deeper Understanding of Stack Overflow and ChatGPT},
  booktitle = {Proceedings of the 29th International Conference on Evaluation and Assessment in Software Engineering},
  year = {2025},
  pages = {976–985},
  doi = {https://doi.org/10.1145/3756681.3757002}
}
Hey, T., Fuchß, D., Keim, J. and Koziolek, A. Requirements traceability link recovery via retrieval-augmented generation 2025 International Working Conference on Requirements Engineering: Foundation for Software Quality, pp. 381-397  inproceedings DOI  
BibTeX:
@inproceedings{2024-84-2,
  author = {Hey, Tobias and Fuchß, Dominik and Keim, Jan and Koziolek, Anne},
  title = {Requirements traceability link recovery via retrieval-augmented generation},
  booktitle = {International Working Conference on Requirements Engineering: Foundation for Software Quality},
  year = {2025},
  pages = {381-397},
  doi = {https://doi.org/10.1007/978-3-031-88531-0_27}
}
Ge, C., Wang, T., Yang, X. and Treude, C. Cross-Level Requirements Tracing Based on Large Language Models 2025 IEEE Transactions on Software Engineering
Vol. 51(7), pp. 2044-2066 
article DOI  
BibTeX:
@article{2024-84-3,
  author = {Ge, Chuyan and Wang, Tiantian and Yang, Xiaotian and Treude, Christoph},
  title = {Cross-Level Requirements Tracing Based on Large Language Models},
  journal = {IEEE Transactions on Software Engineering},
  year = {2025},
  volume = {51},
  number = {7},
  pages = {2044-2066},
  doi = {https://doi.org/10.1109/TSE.2025.3572094}
}
Orel, D., Paul, I., Gurevych, I. and Nakov, P. Droid: A Resource Suite for AI-Generated Code Detection 2025 Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, pp. 31263-31289  inproceedings DOI  
BibTeX:
@inproceedings{2024-93-1,
  author = {Orel, Daniil and Paul, Indraneil and Gurevych, Iryna and Nakov, Preslav},
  title = {Droid: A Resource Suite for AI-Generated Code Detection},
  booktitle = {Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing},
  year = {2025},
  pages = {31263-31289},
  doi = {https://doi.org/10.18653/v1/2025.emnlp-main.1593}
}
Jaoua, I., Sghaier, O.B. and Sahraoui, H. Combining Large Language Models with Static Analyzers for Code Review Generation 2025 2025 IEEE/ACM 22nd International Conference on Mining Software Repositories (MSR), pp. 174-186  inproceedings DOI  
BibTeX:
@inproceedings{2025-21,
  author = {Jaoua, Imen and Sghaier, Oussama Ben and Sahraoui, Houari},
  title = {Combining Large Language Models with Static Analyzers for Code Review Generation},
  booktitle = {2025 IEEE/ACM 22nd International Conference on Mining Software Repositories (MSR)},
  year = {2025},
  pages = {174-186},
  doi = {https://doi.org/10.1109/MSR66628.2025.00038}
}
Kansab, S., Bordeleau, F. and Tizghadam, A. Are All Code Reviews the Same? Identifying and Assessing the Impact of Merge Request Deviations 2025 2025 IEEE International Conference on Software Maintenance and Evolution (ICSME), pp. 308-320  inproceedings DOI  
BibTeX:
@inproceedings{2025-21-6,
  author = {Kansab, Samah and Bordeleau, Francis and Tizghadam, Ali},
  title = {Are All Code Reviews the Same? Identifying and Assessing the Impact of Merge Request Deviations},
  booktitle = {2025 IEEE International Conference on Software Maintenance and Evolution (ICSME)},
  year = {2025},
  pages = {308-320},
  doi = {https://doi.org/10.1109/ICSME64153.2025.00036}
}
Galimzyanov, T., Titov, S., Golubev, Y. and Bogomolov, E. Drawing Pandas: A Benchmark for LLMs in Generating Plotting Code 2025 2025 IEEE/ACM 22nd International Conference on Mining Software Repositories (MSR), pp. 503-507  inproceedings DOI  
BibTeX:
@inproceedings{2025-30,
  author = {Galimzyanov, Timur and Titov, Sergey and Golubev, Yaroslav and Bogomolov, Egor},
  title = {Drawing Pandas: A Benchmark for LLMs in Generating Plotting Code},
  booktitle = {2025 IEEE/ACM 22nd International Conference on Mining Software Repositories (MSR)},
  year = {2025},
  pages = {503-507},
  doi = {https://doi.org/10.1109/MSR66628.2025.00083}
}
Wu, C., Liang, Z., Ge, Y., Guo, Q., Lu, Z., Wang, J., Shan, Y. and Luo, P. Plot2Code: A Comprehensive Benchmark for Evaluating Multi-modal Large Language Models in Code Generation from Scientific Plots 2025 Findings of the Association for Computational Linguistics: NAACL 2025, pp. 3006-3028  inproceedings DOI  
BibTeX:
@inproceedings{2025-30-1,
  author = {Wu, Chengyue and Liang, Zhixuan and Ge, Yixiao and Guo, Qiushan and Lu, Zeyu and Wang, Jiahao and Shan, Ying and Luo, Ping},
  title = {Plot2Code: A Comprehensive Benchmark for Evaluating Multi-modal Large Language Models in Code Generation from Scientific Plots},
  booktitle = {Findings of the Association for Computational Linguistics: NAACL 2025},
  year = {2025},
  pages = {3006-3028},
  doi = {https://doi.org/10.18653/v1/2025.findings-naacl.164}
}
Chakraborty, M., Pirkelbauer, P. and Yi, Q. FormalSpecCpp: A Dataset of C++ Formal Specifications created using LLMs 2025 2025 IEEE/ACM 22nd International Conference on Mining Software Repositories (MSR), pp. 758-762  inproceedings DOI  
BibTeX:
@inproceedings{2025-36,
  author = {Chakraborty, Madhurima and Pirkelbauer, Peter and Yi, Qing},
  title = {FormalSpecCpp: A Dataset of C++ Formal Specifications created using LLMs},
  booktitle = {2025 IEEE/ACM 22nd International Conference on Mining Software Repositories (MSR)},
  year = {2025},
  pages = {758-762},
  doi = {https://doi.org/10.1109/MSR66628.2025.00113}
}
Sghaier, O.B., Weyssow, M. and Sahraoui, H. Harnessing Large Language Models for Curated Code Reviews 2025 2025 IEEE/ACM 22nd International Conference on Mining Software Repositories (MSR), pp. 187-198  inproceedings DOI  
BibTeX:
@inproceedings{2025-42,
  author = {Sghaier, Oussama Ben and Weyssow, Martin and Sahraoui, Houari},
  title = {Harnessing Large Language Models for Curated Code Reviews},
  booktitle = {2025 IEEE/ACM 22nd International Conference on Mining Software Repositories (MSR)},
  year = {2025},
  pages = {187-198},
  doi = {https://doi.org/10.1109/MSR66628.2025.00039}
}
Ahmed, F., Tan, X., Adewole, F., Datta, S. and Nayebi, M. Inferring Questions from Programming Screenshots 2025 2025 IEEE/ACM 22nd International Conference on Mining Software Repositories (MSR), pp. 750-755  inproceedings DOI  
BibTeX:
@inproceedings{2025-49,
  author = {Ahmed, Faiz and Tan, Xuchen and Adewole, Folajinmi and Datta, Suprakash and Nayebi, Maleknaz},
  title = {Inferring Questions from Programming Screenshots},
  booktitle = {2025 IEEE/ACM 22nd International Conference on Mining Software Repositories (MSR)},
  year = {2025},
  pages = {750-755},
  doi = {https://doi.org/10.1109/MSR66628.2025.00111}
}
Tayeb, A.J. and Haiduc, S. Intelligent Semantic Matching (ISM) for Video Tutorial Search using Transformer Models 2025 2025 IEEE/ACM 22nd International Conference on Mining Software Repositories (MSR), pp. 712-724  inproceedings DOI  
BibTeX:
@inproceedings{2025-52,
  author = {Tayeb, Ahmad J. and Haiduc, Sonia},
  title = {Intelligent Semantic Matching (ISM) for Video Tutorial Search using Transformer Models},
  booktitle = {2025 IEEE/ACM 22nd International Conference on Mining Software Repositories (MSR)},
  year = {2025},
  pages = {712-724},
  doi = {https://doi.org/10.1109/MSR66628.2025.00108}
}
Rahman, M.S., Codabux, Z. and Roy, C.K. Investigating the Understandability of Review Comments on Code Change Requests 2025 2025 IEEE/ACM 22nd International Conference on Mining Software Repositories (MSR), pp. 539-551  inproceedings DOI  
BibTeX:
@inproceedings{2025-53,
  author = {Rahman, Md Shamimur and Codabux, Zadia and Roy, Chanchal K.},
  title = {Investigating the Understandability of Review Comments on Code Change Requests},
  booktitle = {2025 IEEE/ACM 22nd International Conference on Mining Software Repositories (MSR)},
  year = {2025},
  pages = {539-551},
  doi = {https://doi.org/10.1109/MSR66628.2025.00087}
}
Tafreshipour, M., Imani, A., Huang, E., Almeida, E.S.d., Zimmermann, T. and Ahmed, I. Prompting in the Wild: An Empirical Study of Prompt Evolution in Software Repositories 2025 2025 IEEE/ACM 22nd International Conference on Mining Software Repositories (MSR), pp. 686-698  inproceedings DOI  
BibTeX:
@inproceedings{2025-79,
  author = {Tafreshipour, Mahan and Imani, Aaron and Huang, Eric and Almeida, Eduardo Santana de and Zimmermann, Thomas and Ahmed, Iftekhar},
  title = {Prompting in the Wild: An Empirical Study of Prompt Evolution in Software Repositories},
  booktitle = {2025 IEEE/ACM 22nd International Conference on Mining Software Repositories (MSR)},
  year = {2025},
  pages = {686-698},
  doi = {https://doi.org/10.1109/MSR66628.2025.00106}
}
Li, Z., Sergeyuk, A. and Izadi, M. Prompt-with-Me: in-IDE Structured Prompt Management for LLM-Driven Software Engineering 2025 2025 40th IEEE/ACM International Conference on Automated Software Engineering (ASE), pp. 3346-3356  inproceedings DOI  
BibTeX:
@inproceedings{2025-79-3,
  author = {Li, Ziyou and Sergeyuk, Agnia and Izadi, Maliheh},
  title = {Prompt-with-Me: in-IDE Structured Prompt Management for LLM-Driven Software Engineering},
  booktitle = {2025 40th IEEE/ACM International Conference on Automated Software Engineering (ASE)},
  year = {2025},
  pages = {3346-3356},
  doi = {https://doi.org/10.1109/ASE63991.2025.00276}
}
Khant, K.S., Lin, H.Y. and Thongtanunam, P. Should Code Models Learn Pedagogically? A Preliminary Evaluation of Curriculum Learning for Real-World Software Engineering Tasks 2025 2025 IEEE/ACM 22nd International Conference on Mining Software Repositories (MSR), pp. 249-254  inproceedings DOI  
BibTeX:
@inproceedings{2025-88,
  author = {Khant, Kyi Shin and Lin, Hong Yi and Thongtanunam, Patanamon},
  title = {Should Code Models Learn Pedagogically? A Preliminary Evaluation of Curriculum Learning for Real-World Software Engineering Tasks},
  booktitle = {2025 IEEE/ACM 22nd International Conference on Mining Software Repositories (MSR)},
  year = {2025},
  pages = {249-254},
  doi = {https://doi.org/10.1109/MSR66628.2025.00044}
}
Alves, A. and Hora, A. TestMigrationsInPy: A Dataset of Test Migrations from Unittest to Pytest 2025 2025 IEEE/ACM 22nd International Conference on Mining Software Repositories (MSR), pp. 841-845  inproceedings DOI  
BibTeX:
@inproceedings{2025-94,
  author = {Alves, Altino and Hora, Andre},
  title = {TestMigrationsInPy: A Dataset of Test Migrations from Unittest to Pytest},
  booktitle = {2025 IEEE/ACM 22nd International Conference on Mining Software Repositories (MSR)},
  year = {2025},
  pages = {841-845},
  doi = {https://doi.org/10.1109/MSR66628.2025.00122}
}
Liu, C., Lin, H.Y. and Thongtanunam, P. Too Noisy To Learn: Enhancing Data Quality for Code Review Comment Generation 2025 2025 IEEE/ACM 22nd International Conference on Mining Software Repositories (MSR), pp. 236-248  inproceedings DOI  
BibTeX:
@inproceedings{2025-97,
  author = {Liu, Chunhua and Lin, Hong Yi and Thongtanunam, Patanamon},
  title = {Too Noisy To Learn: Enhancing Data Quality for Code Review Comment Generation},
  booktitle = {2025 IEEE/ACM 22nd International Conference on Mining Software Repositories (MSR)},
  year = {2025},
  pages = {236-248},
  doi = {https://doi.org/10.1109/MSR66628.2025.00043}
}
Kazemi, F., Lamothe, M. and McIntosh, S. Interrogative Comments Posed by Review Comment Generators: An Empirical Study of Gerrit 2025 2025 ACM/IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM), pp. 01-12  inproceedings DOI  
BibTeX:
@inproceedings{2025-97-2,
  author = {Kazemi, Farshad and Lamothe, Maxime and McIntosh, Shane},
  title = {Interrogative Comments Posed by Review Comment Generators: An Empirical Study of Gerrit},
  booktitle = {2025 ACM/IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM)},
  year = {2025},
  pages = {01-12},
  doi = {https://doi.org/10.1109/ESEM64174.2025.00054}
}
Ehsani, R., Pathak, S. and Chatterjee, P. Towards Detecting Prompt Knowledge Gaps for Improved LLM-guided Issue Resolution 2025 2025 IEEE/ACM 22nd International Conference on Mining Software Repositories (MSR), pp. 699-711  inproceedings DOI  
BibTeX:
@inproceedings{2025-98,
  author = {Ehsani, Ramtin and Pathak, Sakshi and Chatterjee, Preetha},
  title = {Towards Detecting Prompt Knowledge Gaps for Improved LLM-guided Issue Resolution},
  booktitle = {2025 IEEE/ACM 22nd International Conference on Mining Software Repositories (MSR)},
  year = {2025},
  pages = {699-711},
  doi = {https://doi.org/10.1109/MSR66628.2025.00107}
}
Nguyen, T., Gill, W. and Gulzar, M.A. Are the Majority of Public Computational Notebooks Pathologically Non-Executable? 2025 2025 IEEE/ACM 22nd International Conference on Mining Software Repositories (MSR), pp. 396-407  inproceedings DOI  
BibTeX:
@inproceedings{SS1-10,
  author = {Nguyen, Tien and Gill, Waris and Gulzar, Muhammad Ali},
  title = {Are the Majority of Public Computational Notebooks Pathologically Non-Executable?},
  booktitle = {2025 IEEE/ACM 22nd International Conference on Mining Software Repositories (MSR)},
  year = {2025},
  pages = {396-407},
  doi = {https://doi.org/10.1109/MSR66628.2025.00070}
}
Colavito, G., Lanubile, F. and Novielli, N. Benchmarking large language models for automated labeling: The case of issue report classification 2025 Information and Software Technology
Vol. 184, pp. 107758 
article DOI  
BibTeX:
@article{SS1-11,
  author = {Giuseppe Colavito and Filippo Lanubile and Nicole Novielli},
  title = {Benchmarking large language models for automated labeling: The case of issue report classification},
  journal = {Information and Software Technology},
  year = {2025},
  volume = {184},
  pages = {107758},
  doi = {https://doi.org/10.1016/j.infsof.2025.107758}
}
Li, Z., Jiang, T., Liu, H. and Wang, S. Sentiment Analysis for Bug Resolution in Multi-Language Deep Learning Frameworks 2025 2025 10th International Conference on Cloud Computing and Big Data Analytics (ICCCBDA), pp. 193-198  inproceedings DOI  
BibTeX:
@inproceedings{SS1-1-1,
  author = {Li, Zengyang and Jiang, Tao and Liu, Hui and Wang, Sicheng},
  title = {Sentiment Analysis for Bug Resolution in Multi-Language Deep Learning Frameworks},
  booktitle = {2025 10th International Conference on Cloud Computing and Big Data Analytics (ICCCBDA)},
  year = {2025},
  pages = {193-198},
  doi = {https://doi.org/10.1109/ICCCBDA64898.2025.11030530}
}
De Martino, V., Martínez-Fernández, S. and Palomba, F. Do Developers Adopt Green Architectural Tactics for ML-Enabled Systems? A Mining Software Repository Study 2025 2025 IEEE/ACM 47th International Conference on Software Engineering: Software Engineering in Society (ICSE-SEIS), pp. 135-139  inproceedings DOI  
BibTeX:
@inproceedings{SS1-12,
  author = {De Martino, Vincenzo and Martínez-Fernández, Silverio and Palomba, Fabio},
  title = {Do Developers Adopt Green Architectural Tactics for ML-Enabled Systems? A Mining Software Repository Study},
  booktitle = {2025 IEEE/ACM 47th International Conference on Software Engineering: Software Engineering in Society (ICSE-SEIS)},
  year = {2025},
  pages = {135-139},
  doi = {https://doi.org/10.1109/ICSE-SEIS66351.2025.00019}
}
Zhang, T., Irsan, I.C., Thung, F. and Lo, D. Revisiting Sentiment Analysis for Software Engineering in the Era of Large Language Models 2025 ACM Trans. Softw. Eng. Methodol.
Vol. 34(3) 
article DOI  
BibTeX:
@article{SS1-14,
  author = {Zhang, Ting and Irsan, Ivana Clairine and Thung, Ferdian and Lo, David},
  title = {Revisiting Sentiment Analysis for Software Engineering in the Era of Large Language Models},
  journal = {ACM Trans. Softw. Eng. Methodol.},
  year = {2025},
  volume = {34},
  number = {3},
  doi = {https://doi.org/10.1145/3697009}
}
Obaidi, M., Herrmann, M., Klünder, J. and Schneider, K. Towards Trustworthy Sentiment Analysis in Software Engineering: Dataset Characteristics and Tool Selection 2025 2025 IEEE 33rd International Requirements Engineering Conference Workshops (REW), pp. 538-547  inproceedings DOI  
BibTeX:
@inproceedings{SS1-14-1,
  author = {Obaidi, Martin and Herrmann, Marc and Klünder, Jil and Schneider, Kurt},
  title = {Towards Trustworthy Sentiment Analysis in Software Engineering: Dataset Characteristics and Tool Selection},
  booktitle = {2025 IEEE 33rd International Requirements Engineering Conference Workshops (REW)},
  year = {2025},
  pages = {538-547},
  doi = {https://doi.org/10.1109/REW66121.2025.00080}
}
Sorathiya, A. and Ginde, G. CMER: A Context-Aware Approach for Mining Ethical Concern-related App Reviews 2025 2025 IEEE 33rd International Requirements Engineering Conference Workshops (REW), pp. 84-94  inproceedings DOI  
BibTeX:
@inproceedings{SS1-14-2,
  author = {Sorathiya, Aakash and Ginde, Gouri},
  title = {CMER: A Context-Aware Approach for Mining Ethical Concern-related App Reviews},
  booktitle = {2025 IEEE 33rd International Requirements Engineering Conference Workshops (REW)},
  year = {2025},
  pages = {84-94},
  doi = {https://doi.org/10.1109/REW66121.2025.00015}
}
Meakpaiboonwattana, P., Tarntong, W., Mekratanavorakul, T., Ragkhitwetsagul, C., Sangaroonsilp, P., Kula, R.G., Choetkiertikul, M., Matsumoto, K. and Sunetnanta, T. Social Media Reactions to Open Source Promotions: AI-Powered GitHub Projects on Hacker News 2025 2025 IEEE International Conference on Software Maintenance and Evolution (ICSME), pp. 344-355  inproceedings DOI  
BibTeX:
@inproceedings{SS1-14-3,
  author = {Meakpaiboonwattana, Prachnachai and Tarntong, Warittha and Mekratanavorakul, Thai and Ragkhitwetsagul, Chaiyong and Sangaroonsilp, Pattaraporn and Kula, Raula Gaikovina and Choetkiertikul, Morakot and Matsumoto, Kenichi and Sunetnanta, Thanwadee},
  title = {Social Media Reactions to Open Source Promotions: AI-Powered GitHub Projects on Hacker News},
  booktitle = {2025 IEEE International Conference on Software Maintenance and Evolution (ICSME)},
  year = {2025},
  pages = {344-355},
  doi = {https://doi.org/10.1109/ICSME64153.2025.00039}
}
Motger, Q., Oriol, M., Tiessler, M., Franch, X. and Marco, J. What About Emotions? Guiding Fine-Grained Emotion Extraction from Mobile App Reviews 2025 2025 IEEE 33rd International Requirements Engineering Conference (RE), pp. 6-18  inproceedings DOI  
BibTeX:
@inproceedings{SS1-14-4,
  author = {Motger, Quim and Oriol, Marc and Tiessler, Max and Franch, Xavier and Marco, Jordi},
  title = {What About Emotions? Guiding Fine-Grained Emotion Extraction from Mobile App Reviews},
  booktitle = {2025 IEEE 33rd International Requirements Engineering Conference (RE)},
  year = {2025},
  pages = {6-18},
  doi = {https://doi.org/10.1109/RE63999.2025.00012}
}
Binkhonain, M. and Alfayez, R. Are prompts all you need? Evaluating prompt-based Large Language Models (LLM)s for software requirements classification 2025 Requirements Engineering
Vol. 30(4), pp. 423-443 
article DOI  
BibTeX:
@article{SS1-14-6,
  author = {Binkhonain, Manal and Alfayez, Reem},
  title = {Are prompts all you need? Evaluating prompt-based Large Language Models (LLM)s for software requirements classification},
  journal = {Requirements Engineering},
  year = {2025},
  volume = {30},
  number = {4},
  pages = {423-443},
  doi = {https://doi.org/10.1007/s00766-025-00451-8}
}
Kaushik, M. and Chahal, K.K. Boosting Sentiment Analysis in OSS: A Hybrid Active Learning Strategy Using Uncertainty Metrics 2025 International Conference on Artificial Intelligence: Theory and Applications, pp. 311-325  inproceedings DOI  
BibTeX:
@inproceedings{SS1-14-8,
  author = {Kaushik, Mohit and Chahal, Kuljit Kaur},
  title = {Boosting Sentiment Analysis in OSS: A Hybrid Active Learning Strategy Using Uncertainty Metrics},
  booktitle = {International Conference on Artificial Intelligence: Theory and Applications},
  year = {2025},
  pages = {311-325},
  doi = {https://doi.org/10.1007/978-3-032-19179-3_24}
}
Abedu, S., Menneron, L., Khatoonabadi, S. and Shihab, E. RepoChat: An LLM-Powered Chatbot for GitHub Repository Question-Answering 2025 2025 IEEE/ACM 22nd International Conference on Mining Software Repositories (MSR), pp. 255-259  inproceedings DOI  
BibTeX:
@inproceedings{SS1-15,
  author = {Abedu, Samuel and Menneron, Laurine and Khatoonabadi, SayedHassan and Shihab, Emad},
  title = {RepoChat: An LLM-Powered Chatbot for GitHub Repository Question-Answering},
  booktitle = {2025 IEEE/ACM 22nd International Conference on Mining Software Repositories (MSR)},
  year = {2025},
  pages = {255-259},
  doi = {https://doi.org/10.1109/MSR66628.2025.00045}
}
Ly, D., Radhakrishnan, S., Aydemir, F.B. and Dalpiaz, F. Navigating through Work Items in Issue Tracking Systems via Natural Language Queries 2025 2025 IEEE 33rd International Requirements Engineering Conference (RE), pp. 308-319  inproceedings DOI  
BibTeX:
@inproceedings{SS1-15-3,
  author = {Ly, Delina and Radhakrishnan, Sruthi and Aydemir, Fatma Başak and Dalpiaz, Fabiano},
  title = {Navigating through Work Items in Issue Tracking Systems via Natural Language Queries},
  booktitle = {2025 IEEE 33rd International Requirements Engineering Conference (RE)},
  year = {2025},
  pages = {308-319},
  doi = {https://doi.org/10.1109/RE63999.2025.00037}
}
Bexell, A., Heander, L.G., Söderberg, E., Eldh, S. and Runeson, P. Exploring the performance of ML model size for classification in relation to energy consumption 2025 International Conference on Product-Focused Software Process Improvement, pp. 525-532  inproceedings DOI  
BibTeX:
@inproceedings{SS1-2-1,
  author = {Bexell, Andreas and Heander, Lo Gullstrand and Söderberg, Emma and Eldh, Sigrid and Runeson, Per},
  title = {Exploring the performance of ML model size for classification in relation to energy consumption},
  booktitle = {International Conference on Product-Focused Software Process Improvement},
  year = {2025},
  pages = {525-532},
  doi = {https://doi.org/10.1007/978-3-032-12089-2_38}
}
Nakashima, S., Ishimoto, Y., Kondo, M., Xiao, T. and Kamei, Y. How Far Have LLMs Come Toward Automated SATD Taxonomy Construction? 2025 2025 32nd Asia-Pacific Software Engineering Conference (APSEC), pp. 832-836  inproceedings DOI  
BibTeX:
@inproceedings{SS1-2-2,
  author = {Nakashima, Sota and Ishimoto, Yuta and Kondo, Masanari and Xiao, Tao and Kamei, Yasutaka},
  title = {How Far Have LLMs Come Toward Automated SATD Taxonomy Construction?},
  booktitle = {2025 32nd Asia-Pacific Software Engineering Conference (APSEC)},
  year = {2025},
  pages = {832-836},
  doi = {https://doi.org/10.1109/APSEC66846.2025.00087}
}
Oliva, G.A., Rajbahadur, G.K., Bhatia, A., Zhang, H., Chen, Y., Chen, Z., Leung, A., Lin, D., Chen, B. and Hassan, A.E. SPICE: An Automated SWE-Bench Labeling Pipeline for Issue Clarity, Test Coverage, and Effort Estimation 2025 2025 40th IEEE/ACM International Conference on Automated Software Engineering (ASE), pp. 2325-2337  inproceedings DOI  
BibTeX:
@inproceedings{SS1-2-3,
  author = {Oliva, Gustavo A. and Rajbahadur, Gopi Krishnan and Bhatia, Aaditya and Zhang, Haoxiang and Chen, Yihao and Chen, Zhilong and Leung, Arthur and Lin, Dayi and Chen, Boyuan and Hassan, Ahmed E.},
  title = {SPICE: An Automated SWE-Bench Labeling Pipeline for Issue Clarity, Test Coverage, and Effort Estimation},
  booktitle = {2025 40th IEEE/ACM International Conference on Automated Software Engineering (ASE)},
  year = {2025},
  pages = {2325-2337},
  doi = {https://doi.org/10.1109/ASE63991.2025.00192}
}
Jiang, W., Kim, M., Cheung, C., Kim, H., Thiruvathukal, G.K. and Davis, J.C. “I see models being a whole other thing”: an empirical study of pre-trained model naming conventions and a tool for enhancing naming consistency 2025 Empirical Software Engineering
Vol. 30(6), pp. 155 
article DOI  
BibTeX:
@article{SS1-9-1,
  author = {Jiang, Wenxin and Kim, Mingyu and Cheung, Chingwo and Kim, Heesoo and Thiruvathukal, George K and Davis, James C},
  title = {“I see models being a whole other thing”: an empirical study of pre-trained model naming conventions and a tool for enhancing naming consistency},
  journal = {Empirical Software Engineering},
  year = {2025},
  volume = {30},
  number = {6},
  pages = {155},
  doi = {https://doi.org/10.1007/s10664-025-10711-4}
}
Banyongrakkul, P., Zahedi, M., Thongtanunam, P., Treude, C. and Gao, H. From Release to Adoption: Challenges in Reusing Pre-Trained Ai Models for Downstream Developers 2025 2025 IEEE International Conference on Software Maintenance and Evolution (ICSME), pp. 1-13  inproceedings DOI  
BibTeX:
@inproceedings{SS1-9-2,
  author = {Banyongrakkul, Peerachai and Zahedi, Mansooreh and Thongtanunam, Patanamon and Treude, Christoph and Gao, Haoyu},
  title = {From Release to Adoption: Challenges in Reusing Pre-Trained Ai Models for Downstream Developers},
  booktitle = {2025 IEEE International Conference on Software Maintenance and Evolution (ICSME)},
  year = {2025},
  pages = {1-13},
  doi = {https://doi.org/10.1109/ICSME64153.2025.00022}
}
Aracena, G., Luster, K., Santos, F., Steinmacher, I. and Gerosa, M.A. Applying Large Language Models to Issue Classification 2024 2024 IEEE/ACM International Workshop on Natural Language-Based Software Engineering (NLBSE), pp. 57-60  inproceedings DOI  
BibTeX:
@inproceedings{2023-35-4,
  author = {Aracena, Gabriel and Luster, Kyle and Santos, Fabio and Steinmacher, Igor and Gerosa, Marco A.},
  title = {Applying Large Language Models to Issue Classification},
  booktitle = {2024 IEEE/ACM International Workshop on Natural Language-Based Software Engineering (NLBSE)},
  year = {2024},
  pages = {57-60},
  doi = {https://doi.org/10.1145/3643787.3648043}
}
Phatangare, S., Matkar, A., Jadhav, A., Shaikh, A.H. and Bonde, A. CodeCompass: NLP-Driven Navigation to Optimal Repositories 2024 2024 4th International Conference on Pervasive Computing and Social Networking (ICPCSN), pp. 393-401  inproceedings DOI  
BibTeX:
@inproceedings{2023-35-7,
  author = {Phatangare, Sheetal and Matkar, Aakash and Jadhav, Akshay and Shaikh, Al Hussain and Bonde, Anish},
  title = {CodeCompass: NLP-Driven Navigation to Optimal Repositories},
  booktitle = {2024 4th International Conference on Pervasive Computing and Social Networking (ICPCSN)},
  year = {2024},
  pages = {393-401},
  doi = {https://doi.org/10.1109/ICPCSN62568.2024.00068}
}
Zou, W., Shen, Z., Ge, J., Li, C. and Luo, B. CCAF: Learning Code Change via AdapterFusion 2024 Proceedings of the 15th Asia-Pacific Symposium on Internetware, pp. 219–228  inproceedings DOI  
BibTeX:
@inproceedings{2023-47-1,
  author = {Zou, Wentao and Shen, Zongwen and Ge, JiDong and Li, Chuanyi and Luo, Bin},
  title = {CCAF: Learning Code Change via AdapterFusion},
  booktitle = {Proceedings of the 15th Asia-Pacific Symposium on Internetware},
  year = {2024},
  pages = {219–228},
  doi = {https://doi.org/10.1145/3671016.3671399}
}
Zhang, X., Shen, G., Huang, Z., Yu, Y. and Wang, K. FuEPRe: a fusing embedding method with attention for post recommendation 2024 Service Oriented Computing and Applications
Vol. 18(1), pp. 67-79 
article DOI  
BibTeX:
@article{2023-54-3,
  author = {Zhang, Xinbo and Shen, Guohua and Huang, Zhiqiu and Yu, Yaoshen and Wang, Kang},
  title = {FuEPRe: a fusing embedding method with attention for post recommendation},
  journal = {Service Oriented Computing and Applications},
  year = {2024},
  volume = {18},
  number = {1},
  pages = {67-79},
  doi = {https://doi.org/10.1007/s11761-024-00386-y}
}
Zhao, Z., Chen, Y., Bangash, A.A., Adams, B. and Hassan, A.E. An empirical study of challenges in machine learning asset management 2024 Empirical Software Engineering
Vol. 29(4), pp. 98 
article DOI  
BibTeX:
@article{2023-58-2,
  author = {Zhao, Zhimin and Chen, Yihao and Bangash, Abdul Ali and Adams, Bram and Hassan, Ahmed E},
  title = {An empirical study of challenges in machine learning asset management},
  journal = {Empirical Software Engineering},
  year = {2024},
  volume = {29},
  number = {4},
  pages = {98},
  doi = {https://doi.org/10.1007/s10664-024-10474-4}
}
Castaño, J., Martínez-Fernández, S., Franch, X. and Bogner, J. Analyzing the Evolution and Maintenance of ML Models on Hugging Face 2024 2024 IEEE/ACM 21st International Conference on Mining Software Repositories (MSR), pp. 607-618  inproceedings DOI  
BibTeX:
@inproceedings{2024-14,
  author = {Castaño, Joel and Martínez-Fernández, Silverio and Franch, Xavier and Bogner, Justus},
  title = {Analyzing the Evolution and Maintenance of ML Models on Hugging Face},
  booktitle = {2024 IEEE/ACM 21st International Conference on Mining Software Repositories (MSR)},
  year = {2024},
  pages = {607-618},
  doi = {https://doi.org/10.1145/3643991.3644898}
}
Jones, J., Jiang, W., Synovic, N., Thiruvathukal, G. and Davis, J. What do we know about Hugging Face? A systematic literature review and quantitative validation of qualitative claims 2024 Proceedings of the 18th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement, pp. 13–24  inproceedings DOI  
BibTeX:
@inproceedings{2024-14-3,
  author = {Jones, Jason and Jiang, Wenxin and Synovic, Nicholas and Thiruvathukal, George and Davis, James},
  title = {What do we know about Hugging Face? A systematic literature review and quantitative validation of qualitative claims},
  booktitle = {Proceedings of the 18th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement},
  year = {2024},
  pages = {13–24},
  doi = {https://doi.org/10.1145/3674805.3686665}
}
Castano, J., Martinez-Fernandez, S. and Franch, X. Lessons Learned from Mining the Hugging Face Repository 2024 2024 IEEE/ACM International Workshop on Methodological Issues with Empirical Studies in Software Engineering (WSESE), pp. 1-6  inproceedings DOI  
BibTeX:
@inproceedings{2024-14-7,
  author = {Castano, Joel and Martinez-Fernandez, Silverio and Franch, Xavier},
  title = {Lessons Learned from Mining the Hugging Face Repository},
  booktitle = {2024 IEEE/ACM International Workshop on Methodological Issues with Empirical Studies in Software Engineering (WSESE)},
  year = {2024},
  pages = {1-6},
  doi = {https://doi.org/10.1145/3643664.3648204}
}
Wu, L., Zhao, Y., Hou, X., Liu, T. and Wang, H. ChatGPT Chats Decoded: Uncovering Prompt Patterns for Superior Solutions in Software Development Lifecycle 2024 2024 IEEE/ACM 21st International Conference on Mining Software Repositories (MSR), pp. 142-146  inproceedings DOI  
BibTeX:
@inproceedings{2024-24,
  author = {Wu, Liangxuan and Zhao, Yanjie and Hou, Xinyi and Liu, Tianming and Wang, Haoyu},
  title = {ChatGPT Chats Decoded: Uncovering Prompt Patterns for Superior Solutions in Software Development Lifecycle},
  booktitle = {2024 IEEE/ACM 21st International Conference on Mining Software Repositories (MSR)},
  year = {2024},
  pages = {142-146},
  doi = {https://doi.org/10.1145/3643991.3645069}
}
Champa, A.I., Rabbi, M.F., Nachuma, C. and Zibran, M.F. ChatGPT in Action: Analyzing Its Use in Software Development 2024 2024 IEEE/ACM 21st International Conference on Mining Software Repositories (MSR), pp. 182-186  inproceedings DOI  
BibTeX:
@inproceedings{2024-25,
  author = {Champa, Arifa I. and Rabbi, Md Fazle and Nachuma, Costain and Zibran, Minhaz F.},
  title = {ChatGPT in Action: Analyzing Its Use in Software Development},
  booktitle = {2024 IEEE/ACM 21st International Conference on Mining Software Repositories (MSR)},
  year = {2024},
  pages = {182-186},
  doi = {https://doi.org/10.1145/3643991.3645077}
}
Nikeghbal, N., Kargaran, A.H. and Heydarnoori, A. GIRT-Model: Automated Generation of Issue Report Templates 2024 2024 IEEE/ACM 21st International Conference on Mining Software Repositories (MSR), pp. 407-418  inproceedings DOI  
BibTeX:
@inproceedings{2024-45,
  author = {Nikeghbal, Nafiseh and Kargaran, Amir Hossein and Heydarnoori, Abbas},
  title = {GIRT-Model: Automated Generation of Issue Report Templates},
  booktitle = {2024 IEEE/ACM 21st International Conference on Mining Software Repositories (MSR)},
  year = {2024},
  pages = {407-418},
  doi = {https://doi.org/10.1145/3643991.3644906}
}
Abedini, Y. and Heydarnoori, A. Can GitHub Issues Help in App Review Classifications? 2024 ACM Trans. Softw. Eng. Methodol.
Vol. 33(8) 
article DOI  
BibTeX:
@article{2024-45-9,
  author = {Abedini, Yasaman and Heydarnoori, Abbas},
  title = {Can GitHub Issues Help in App Review Classifications?},
  journal = {ACM Trans. Softw. Eng. Methodol.},
  year = {2024},
  volume = {33},
  number = {8},
  doi = {https://doi.org/10.1145/3678170}
}
Lin, H.Y., Thongtanunam, P., Treude, C. and Charoenwet, W. Improving Automated Code Reviews: Learning from Experience 2024 2024 IEEE/ACM 21st International Conference on Mining Software Repositories (MSR), pp. 278-283  inproceedings DOI  
BibTeX:
@inproceedings{2024-56,
  author = {Lin, Hong Yi and Thongtanunam, Patanamon and Treude, Christoph and Charoenwet, Wachiraphan},
  title = {Improving Automated Code Reviews: Learning from Experience},
  booktitle = {2024 IEEE/ACM 21st International Conference on Mining Software Repositories (MSR)},
  year = {2024},
  pages = {278-283},
  doi = {https://doi.org/10.1145/3643991.3644910}
}
Ehsani, R., Imran, M.M., Zita, R., Damevski, K. and Chatterjee, P. Incivility in Open Source Projects: A Comprehensive Annotated Dataset of Locked GitHub Issue Threads 2024 2024 IEEE/ACM 21st International Conference on Mining Software Repositories (MSR), pp. 515-519  inproceedings DOI  
BibTeX:
@inproceedings{2024-57,
  author = {Ehsani, Ramtin and Imran, Mia Mohammad and Zita, Robert and Damevski, Kostadin and Chatterjee, Preetha},
  title = {Incivility in Open Source Projects: A Comprehensive Annotated Dataset of Locked GitHub Issue Threads},
  booktitle = {2024 IEEE/ACM 21st International Conference on Mining Software Repositories (MSR)},
  year = {2024},
  pages = {515-519},
  doi = {https://doi.org/10.1145/3643991.3644887}
}
Colavito, G., Lanubile, F., Novielli, N. and Quaranta, L. Leveraging GPT-like LLMs to Automate Issue Labeling 2024 2024 IEEE/ACM 21st International Conference on Mining Software Repositories (MSR), pp. 469-480  inproceedings DOI  
BibTeX:
@inproceedings{2024-62,
  author = {Colavito, Giuseppe and Lanubile, Filippo and Novielli, Nicole and Quaranta, Luigi},
  title = {Leveraging GPT-like LLMs to Automate Issue Labeling},
  booktitle = {2024 IEEE/ACM 21st International Conference on Mining Software Repositories (MSR)},
  year = {2024},
  pages = {469-480},
  doi = {https://doi.org/10.1145/3643991.3644903}
}
Colavito, G., Lanubile, F., Novielli, N. and Quaranta, L. Large Language Models for Issue Report Classification 2024 Ital-IA, pp. 18-23  inproceedings  
BibTeX:
@inproceedings{2024-62-10,
  author = {Colavito, Giuseppe and Lanubile, Filippo and Novielli, Nicole and Quaranta, Luigi},
  title = {Large Language Models for Issue Report Classification},
  booktitle = {Ital-IA},
  year = {2024},
  pages = {18-23}
}
Vaccargiu, M. and Tonelli, R. Blockchain Projects in Environmental Sector: Theoretical and Practical Analysis 2024 Earth
Vol. 5(3), pp. 354-370 
article DOI  
BibTeX:
@article{2024-62-15,
  author = {Vaccargiu, Matteo and Tonelli, Roberto},
  title = {Blockchain Projects in Environmental Sector: Theoretical and Practical Analysis},
  journal = {Earth},
  year = {2024},
  volume = {5},
  number = {3},
  pages = {354-370},
  doi = {https://doi.org/10.3390/earth5030020}
}
Vaccargiu, M., Aufiero, S., Bartolucci, S., Neykova, R., Tonelli, R. and Destefanis, G. Sustainability in Blockchain Development: A BERT-Based Analysis of Ethereum Developer Discussions 2024 Proceedings of the 28th International Conference on Evaluation and Assessment in Software Engineering, pp. 381–386  inproceedings DOI  
BibTeX:
@inproceedings{2024-62-7,
  author = {Vaccargiu, Matteo and Aufiero, Sabrina and Bartolucci, Silvia and Neykova, Rumyana and Tonelli, Roberto and Destefanis, Giuseppe},
  title = {Sustainability in Blockchain Development: A BERT-Based Analysis of Ethereum Developer Discussions},
  booktitle = {Proceedings of the 28th International Conference on Evaluation and Assessment in Software Engineering},
  year = {2024},
  pages = {381–386},
  doi = {https://doi.org/10.1145/3661167.3661194}
}
Alsayed, A.S., Khanh Dam, H. and Nguyen, C. MicroRec: Leveraging Large Language Models for Microservice Recommendation 2024 2024 IEEE/ACM 21st International Conference on Mining Software Repositories (MSR), pp. 419-430  inproceedings DOI  
BibTeX:
@inproceedings{2024-65,
  author = {Alsayed, Ahmed Saeed and Khanh Dam, Hoa and Nguyen, Chau},
  title = {MicroRec: Leveraging Large Language Models for Microservice Recommendation},
  booktitle = {2024 IEEE/ACM 21st International Conference on Mining Software Repositories (MSR)},
  year = {2024},
  pages = {419-430},
  doi = {https://doi.org/10.1145/3643991.3644916}
}
Rabbi, M.F., Champa, A., Zibran, M. and Islam, M.R. AI Writes, We Analyze: The ChatGPT Python Code Saga 2024 2024 IEEE/ACM 21st International Conference on Mining Software Repositories (MSR), pp. 177-181  inproceedings DOI  
BibTeX:
@inproceedings{2024-7,
  author = {Rabbi, Md Fazle and Champa, Arifa and Zibran, Minhaz and Islam, Md Rakibul},
  title = {AI Writes, We Analyze: The ChatGPT Python Code Saga},
  booktitle = {2024 IEEE/ACM 21st International Conference on Mining Software Repositories (MSR)},
  year = {2024},
  pages = {177-181},
  doi = {https://doi.org/10.1145/3643991.3645076}
}
Sagdic, E., Bayram, A. and Islam, M.R. On the Taxonomy of Developers’ Discussion Topics with ChatGPT 2024 2024 IEEE/ACM 21st International Conference on Mining Software Repositories (MSR), pp. 197-201  inproceedings DOI  
BibTeX:
@inproceedings{2024-72,
  author = {Sagdic, Ertugrul and Bayram, Arda and Islam, Md Rakibul},
  title = {On the Taxonomy of Developers’ Discussion Topics with ChatGPT},
  booktitle = {2024 IEEE/ACM 21st International Conference on Mining Software Repositories (MSR)},
  year = {2024},
  pages = {197-201},
  doi = {https://doi.org/10.1145/3643991.3645080}
}
Sutoyo, E. and Capiluppi, A. SATDAUG - A Balanced and Augmented Dataset for Detecting Self-Admitted Technical Debt 2024 2024 IEEE/ACM 21st International Conference on Mining Software Repositories (MSR), pp. 289-293  inproceedings DOI  
BibTeX:
@inproceedings{2024-82,
  author = {Sutoyo, Edi and Capiluppi, Andrea},
  title = {SATDAUG - A Balanced and Augmented Dataset for Detecting Self-Admitted Technical Debt},
  booktitle = {2024 IEEE/ACM 21st International Conference on Mining Software Repositories (MSR)},
  year = {2024},
  pages = {289-293},
  doi = {https://doi.org/10.1145/3643991.3644880}
}
Sutoyo, E., Avgeriou, P. and Capiluppi, A. Deep Learning and Data Augmentation for Detecting Self-Admitted Technical Debt 2024 2024 31st Asia-Pacific Software Engineering Conference (APSEC), pp. 01-10  inproceedings DOI  
BibTeX:
@inproceedings{2024-82-1,
  author = {Sutoyo, Edi and Avgeriou, Paris and Capiluppi, Andrea},
  title = {Deep Learning and Data Augmentation for Detecting Self-Admitted Technical Debt},
  booktitle = {2024 31st Asia-Pacific Software Engineering Conference (APSEC)},
  year = {2024},
  pages = {01-10},
  doi = {https://doi.org/10.1109/APSEC65559.2024.00022}
}
Preda, A.-R., Mayr-Dorn, C., Mashkoor, A. and Egyed, A. Supporting High-Level to Low-Level Requirements Coverage Reviewing with Large Language Models 2024 2024 IEEE/ACM 21st International Conference on Mining Software Repositories (MSR), pp. 242-253  inproceedings DOI  
BibTeX:
@inproceedings{2024-84,
  author = {Preda, Anamaria-Roberta and Mayr-Dorn, Christoph and Mashkoor, Atif and Egyed, Alexander},
  title = {Supporting High-Level to Low-Level Requirements Coverage Reviewing with Large Language Models},
  booktitle = {2024 IEEE/ACM 21st International Conference on Mining Software Repositories (MSR)},
  year = {2024},
  pages = {242-253},
  doi = {https://doi.org/10.1145/3643991.3644922}
}
Liu, K., Han, Y., Liu, Y., Zhang, J.M., Chen, Z., Sarro, F., Huang, G. and Ma, Y. TrickyBugs: A Dataset of Corner-case Bugs in Plausible Programs 2024 2024 IEEE/ACM 21st International Conference on Mining Software Repositories (MSR), pp. 113-117  inproceedings DOI  
BibTeX:
@inproceedings{2024-90,
  author = {Liu, Kaibo and Han, Yudong and Liu, Yiyang and Zhang, Jie M. and Chen, Zhenpeng and Sarro, Federica and Huang, Gang and Ma, Yun},
  title = {TrickyBugs: A Dataset of Corner-case Bugs in Plausible Programs},
  booktitle = {2024 IEEE/ACM 21st International Conference on Mining Software Repositories (MSR)},
  year = {2024},
  pages = {113-117},
  doi = {https://doi.org/10.1145/3643991.3644870}
}
Idialu, O.J., Mathews, N.S., Maipradit, R., Atlee, J.M. and Nagappan, M. Whodunit: Classifying Code as Human Authored or GPT-4 generated- A case study on CodeChef problems 2024 2024 IEEE/ACM 21st International Conference on Mining Software Repositories (MSR), pp. 394-406  inproceedings DOI  
BibTeX:
@inproceedings{2024-93,
  author = {Idialu, Oseremen Joy and Mathews, Noble Saji and Maipradit, Rungroj and Atlee, Joanne M. and Nagappan, Meiyappan},
  title = {Whodunit: Classifying Code as Human Authored or GPT-4 generated- A case study on CodeChef problems},
  booktitle = {2024 IEEE/ACM 21st International Conference on Mining Software Repositories (MSR)},
  year = {2024},
  pages = {394-406},
  doi = {https://doi.org/10.1145/3643991.3644926}
}
Wadhwa, N., Pradhan, J., Sonwane, A., Sahu, S.P., Natarajan, N., Kanade, A., Parthasarathy, S. and Rajamani, S. CORE: Resolving Code Quality Issues using LLMs 2024 Proc. ACM Softw. Eng.
Vol. 1(FSE) 
article DOI  
BibTeX:
@article{2025-21-3,
  author = {Wadhwa, Nalin and Pradhan, Jui and Sonwane, Atharv and Sahu, Surya Prakash and Natarajan, Nagarajan and Kanade, Aditya and Parthasarathy, Suresh and Rajamani, Sriram},
  title = {CORE: Resolving Code Quality Issues using LLMs},
  journal = {Proc. ACM Softw. Eng.},
  year = {2024},
  volume = {1},
  number = {FSE},
  doi = {https://doi.org/10.1145/3643762}
}
Rahman, M.S., Codabux, Z. and Roy, C.K. Do Words Have Power? Understanding and Fostering Civility in Code Review Discussion 2024 Proc. ACM Softw. Eng.
Vol. 1(FSE) 
article DOI  
BibTeX:
@article{2025-53-1,
  author = {Rahman, Md Shamimur and Codabux, Zadia and Roy, Chanchal K.},
  title = {Do Words Have Power? Understanding and Fostering Civility in Code Review Discussion},
  journal = {Proc. ACM Softw. Eng.},
  year = {2024},
  volume = {1},
  number = {FSE},
  doi = {https://doi.org/10.1145/3660780}
}
Li, J., Faragó, D., Petrov, C. and Ahmed, I. Only diff Is Not Enough: Generating Commit Messages Leveraging Reasoning and Action of Large Language Model 2024 Proc. ACM Softw. Eng.
Vol. 1(FSE) 
article DOI  
BibTeX:
@article{2025-79-1,
  author = {Li, Jiawei and Faragó, David and Petrov, Christian and Ahmed, Iftekhar},
  title = {Only diff Is Not Enough: Generating Commit Messages Leveraging Reasoning and Action of Large Language Model},
  journal = {Proc. ACM Softw. Eng.},
  year = {2024},
  volume = {1},
  number = {FSE},
  doi = {https://doi.org/10.1145/3643760}
}
Pister, K., Paul, D.J., Brophy, P. and Joshi, I. PromptSet: A Programmer’s Prompting Dataset 2024 2024 IEEE/ACM International Workshop on Large Language Models for Code (LLM4Code), pp. 62-69  inproceedings DOI  
BibTeX:
@inproceedings{2025-79-2,
  author = {Pister, Kaiser and Paul, Dhruba Jyoti and Brophy, Patrick and Joshi, Ishan},
  title = {PromptSet: A Programmer’s Prompting Dataset},
  booktitle = {2024 IEEE/ACM International Workshop on Large Language Models for Code (LLM4Code)},
  year = {2024},
  pages = {62-69},
  doi = {https://doi.org/10.1145/3643795.3648395}
}
Shafikuzzaman, M., Islam, M.R., Rolli, A.C., Akhter, S. and Seliya, N. An Empirical Evaluation of the Zero-Shot, Few-Shot, and Traditional Fine-Tuning Based Pretrained Language Models for Sentiment Analysis in Software Engineering 2024 IEEE Access
Vol. 12, pp. 109714-109734 
article DOI  
BibTeX:
@article{SS1-1,
  author = {Shafikuzzaman, Md and Islam, Md Rakibul and Rolli, Alex C. and Akhter, Sharmin and Seliya, Naeem},
  title = {An Empirical Evaluation of the Zero-Shot, Few-Shot, and Traditional Fine-Tuning Based Pretrained Language Models for Sentiment Analysis in Software Engineering},
  journal = {IEEE Access},
  year = {2024},
  volume = {12},
  pages = {109714-109734},
  doi = {https://doi.org/10.1109/ACCESS.2024.3439450}
}
Abedu, S., Abdellatif, A. and Shihab, E. LLM-Based Chatbots for Mining Software Repositories: Challenges and Opportunities 2024 Proceedings of the 28th International Conference on Evaluation and Assessment in Software Engineering, pp. 201–210  inproceedings DOI  
BibTeX:
@inproceedings{SS1-15-1,
  author = {Abedu, Samuel and Abdellatif, Ahmad and Shihab, Emad},
  title = {LLM-Based Chatbots for Mining Software Repositories: Challenges and Opportunities},
  booktitle = {Proceedings of the 28th International Conference on Evaluation and Assessment in Software Engineering},
  year = {2024},
  pages = {201–210},
  doi = {https://doi.org/10.1145/3661167.3661218}
}
Sheikhaei, M.S., Tian, Y., Wang, S. and Xu, B. An empirical study on the effectiveness of large language models for satd identification and classification 2024 Empirical Software Engineering
Vol. 29(6), pp. 159 
article DOI  
BibTeX:
@article{SS1-2,
  author = {Sheikhaei, Mohammad Sadegh and Tian, Yuan and Wang, Shaowei and Xu, Bowen},
  title = {An empirical study on the effectiveness of large language models for satd identification and classification},
  journal = {Empirical Software Engineering},
  year = {2024},
  volume = {29},
  number = {6},
  pages = {159},
  doi = {https://doi.org/10.1007/s10664-024-10548-3}
}
Zhang, Y., Liu, Z., Feng, Y. and Xu, B. Leveraging Large Language Model to Assist Detecting Rust Code Comment Inconsistency 2024 2024 39th IEEE/ACM International Conference on Automated Software Engineering (ASE), pp. 356-366  inproceedings DOI  
BibTeX:
@inproceedings{SS1-5,
  author = {Zhang, Yichi and Liu, Zixi and Feng, Yang and Xu, Baowen},
  title = {Leveraging Large Language Model to Assist Detecting Rust Code Comment Inconsistency},
  booktitle = {2024 39th IEEE/ACM International Conference on Automated Software Engineering (ASE)},
  year = {2024},
  pages = {356-366},
  doi = {https://doi.org/10.1145/3691620.3695010}
}
Wu, C., Chen, J., Wang, Z., Liang, R. and Du, R. Semantic Sleuth: Identifying Ponzi Contracts via Large Language Models 2024 2024 39th IEEE/ACM International Conference on Automated Software Engineering (ASE), pp. 582-593  inproceedings DOI  
BibTeX:
@inproceedings{SS1-6,
  author = {Wu, Cong and Chen, Jing and Wang, Ziwei and Liang, Ruichao and Du, Ruiying},
  title = {Semantic Sleuth: Identifying Ponzi Contracts via Large Language Models},
  booktitle = {2024 39th IEEE/ACM International Conference on Automated Software Engineering (ASE)},
  year = {2024},
  pages = {582-593},
  doi = {https://doi.org/10.1145/3691620.3695055}
}
Imran, M.M., Chatterjee, P. and Damevski, K. Shedding Light on Software Engineering-Specific Metaphors and Idioms 2024 2024 IEEE/ACM 46th International Conference on Software Engineering (ICSE), pp. 2555-2567  inproceedings DOI  
BibTeX:
@inproceedings{SS1-7,
  author = {Imran, Mia Mohammad and Chatterjee, Preetha and Damevski, Kostadin},
  title = {Shedding Light on Software Engineering-Specific Metaphors and Idioms},
  booktitle = {2024 IEEE/ACM 46th International Conference on Software Engineering (ICSE)},
  year = {2024},
  pages = {2555-2567},
  doi = {https://doi.org/10.1145/3597503.3639585}
}
Imran, M.M., Chatterjee, P. and Damevski, K. Uncovering the Causes of Emotions in Software Developer Communication Using Zero-shot LLMs 2024 2024 IEEE/ACM 46th International Conference on Software Engineering (ICSE), pp. 2244-2256  inproceedings DOI  
BibTeX:
@inproceedings{SS1-8,
  author = {Imran, Mia Mohammad and Chatterjee, Preetha and Damevski, Kostadin},
  title = {Uncovering the Causes of Emotions in Software Developer Communication Using Zero-shot LLMs},
  booktitle = {2024 IEEE/ACM 46th International Conference on Software Engineering (ICSE)},
  year = {2024},
  pages = {2244-2256},
  doi = {https://doi.org/10.1145/3597503.3639223}
}
Jiang, W., Yasmin, J., Jones, J., Synovic, N., Kuo, J., Bielanski, N., Tian, Y., Thiruvathukal, G.K. and Davis, J.C. PeaTMOSS: A Dataset and Initial Analysis of Pre-Trained Models in Open-Source Software 2024 2024 IEEE/ACM 21st International Conference on Mining Software Repositories (MSR), pp. 431-443  inproceedings DOI  
BibTeX:
@inproceedings{SS1-9,
  author = {Jiang, Wenxin and Yasmin, Jerin and Jones, Jason and Synovic, Nicholas and Kuo, Jiashen and Bielanski, Nathaniel and Tian, Yuan and Thiruvathukal, George K. and Davis, James C.},
  title = {PeaTMOSS: A Dataset and Initial Analysis of Pre-Trained Models in Open-Source Software},
  booktitle = {2024 IEEE/ACM 21st International Conference on Mining Software Repositories (MSR)},
  year = {2024},
  pages = {431-443},
  doi = {https://doi.org/10.1145/3643991.3644907}
}
Obie, H.O., Du, H., Madampe, K., Shahin, M., Ilekura, I., Grundy, J., Li, L., Whittle, J., Turhan, B. and Khalajzadeh, H. Automated detection, categorisation and developers’ experience with the violations of honesty in mobile apps 2023 Empirical Software Engineering
Vol. 28(6), pp. 134 
article DOI  
BibTeX:
@article{2022-69-1,
  author = {Obie, Humphrey O and Du, Hung and Madampe, Kashumi and Shahin, Mojtaba and Ilekura, Idowu and Grundy, John and Li, Li and Whittle, Jon and Turhan, Burak and Khalajzadeh, Hourieh},
  title = {Automated detection, categorisation and developers’ experience with the violations of honesty in mobile apps},
  journal = {Empirical Software Engineering},
  year = {2023},
  volume = {28},
  number = {6},
  pages = {134},
  doi = {https://doi.org/10.1007/s10664-023-10361-4}
}
Bani Yusuf, I.N., Binte Abdul Jamal, D. and Jiang, L. Automating Arduino Programming: From Hardware Setups to Sample Source Code Generation 2023 2023 IEEE/ACM 20th International Conference on Mining Software Repositories (MSR), pp. 453-464  inproceedings DOI  
BibTeX:
@inproceedings{2023-10,
  author = {Bani Yusuf, Imam Nur and Binte Abdul Jamal, Diyanah and Jiang, Lingxiao},
  title = {Automating Arduino Programming: From Hardware Setups to Sample Source Code Generation},
  booktitle = {2023 IEEE/ACM 20th International Conference on Mining Software Repositories (MSR)},
  year = {2023},
  pages = {453-464},
  doi = {https://doi.org/10.1109/MSR59073.2023.00069}
}
Bani Yusuf, I.N., Abdul Jamal, D.B. and Jiang, L. ArduinoProg: Towards Automating Arduino Programming 2023 2023 38th IEEE/ACM International Conference on Automated Software Engineering (ASE), pp. 2030-2033  inproceedings DOI  
BibTeX:
@inproceedings{2023-10-1,
  author = {Bani Yusuf, Imam Nur and Abdul Jamal, Diyanah Binte and Jiang, Lingxiao},
  title = {ArduinoProg: Towards Automating Arduino Programming},
  booktitle = {2023 38th IEEE/ACM International Conference on Automated Software Engineering (ASE)},
  year = {2023},
  pages = {2030-2033},
  doi = {https://doi.org/10.1109/ASE56229.2023.00055}
}
Shahin, M., Zahedi, M., Khalajzadeh, H. and Rezaei Nasab, A. A Study of Gender Discussions in Mobile Apps 2023 2023 IEEE/ACM 20th International Conference on Mining Software Repositories (MSR), pp. 598-610  inproceedings DOI  
BibTeX:
@inproceedings{2023-3,
  author = {Shahin, Mojtaba and Zahedi, Mansooreh and Khalajzadeh, Hourieh and Rezaei Nasab, Ali},
  title = {A Study of Gender Discussions in Mobile Apps},
  booktitle = {2023 IEEE/ACM 20th International Conference on Mining Software Repositories (MSR)},
  year = {2023},
  pages = {598-610},
  doi = {https://doi.org/10.1109/MSR59073.2023.00086}
}
Khalajzadeh, H., Shahin, M., Obie, H.O., Agrawal, P. and Grundy, J. Supporting Developers in Addressing Human-Centric Issues in Mobile Apps 2023 IEEE Transactions on Software Engineering
Vol. 49(4), pp. 2149-2168 
article DOI  
BibTeX:
@article{2023-3-2,
  author = {Khalajzadeh, Hourieh and Shahin, Mojtaba and Obie, Humphrey O. and Agrawal, Pragya and Grundy, John},
  title = {Supporting Developers in Addressing Human-Centric Issues in Mobile Apps},
  journal = {IEEE Transactions on Software Engineering},
  year = {2023},
  volume = {49},
  number = {4},
  pages = {2149-2168},
  doi = {https://doi.org/10.1109/TSE.2022.3212329}
}
Vargovich, J., Santos, F., Penney, J., Gerosa, M.A. and Steinmacher, I. GiveMeLabeledIssues: An Open Source Issue Recommendation System 2023 2023 IEEE/ACM 20th International Conference on Mining Software Repositories (MSR), pp. 402-406  inproceedings DOI  
BibTeX:
@inproceedings{2023-35,
  author = {Vargovich, Joseph and Santos, Fabio and Penney, Jacob and Gerosa, Marco A. and Steinmacher, Igor},
  title = {GiveMeLabeledIssues: An Open Source Issue Recommendation System},
  booktitle = {2023 IEEE/ACM 20th International Conference on Mining Software Repositories (MSR)},
  year = {2023},
  pages = {402-406},
  doi = {https://doi.org/10.1109/MSR59073.2023.00061}
}
Tony, C., Mutas, M., Ferreyra, N.E.D. and Scandariato, R. LLMSecEval: A Dataset of Natural Language Prompts for Security Evaluations 2023 2023 IEEE/ACM 20th International Conference on Mining Software Repositories (MSR), pp. 588-592  inproceedings DOI  
BibTeX:
@inproceedings{2023-43,
  author = {Tony, Catherine and Mutas, Markus and Ferreyra, Nicolás E. Díaz and Scandariato, Riccardo},
  title = {LLMSecEval: A Dataset of Natural Language Prompts for Security Evaluations},
  booktitle = {2023 IEEE/ACM 20th International Conference on Mining Software Repositories (MSR)},
  year = {2023},
  pages = {588-592},
  doi = {https://doi.org/10.1109/MSR59073.2023.00084}
}
Saberi, I. and Fard, F.H. Model-Agnostic Syntactical Information for Pre-Trained Programming Language Models 2023 2023 IEEE/ACM 20th International Conference on Mining Software Repositories (MSR), pp. 183-193  inproceedings DOI  
BibTeX:
@inproceedings{2023-47,
  author = {Saberi, Iman and Fard, Fatemeh H.},
  title = {Model-Agnostic Syntactical Information for Pre-Trained Programming Language Models},
  booktitle = {2023 IEEE/ACM 20th International Conference on Mining Software Repositories (MSR)},
  year = {2023},
  pages = {183-193},
  doi = {https://doi.org/10.1109/MSR59073.2023.00036}
}
Clairine Irsan, I., Zhang, T., Thung, F., Kim, K. and Lo, D. Picaso: Enhancing API Recommendations with Relevant Stack Overflow Posts 2023 2023 IEEE/ACM 20th International Conference on Mining Software Repositories (MSR), pp. 92-103  inproceedings DOI  
BibTeX:
@inproceedings{2023-54,
  author = {Clairine Irsan, Ivana and Zhang, Ting and Thung, Ferdian and Kim, Kisub and Lo, David},
  title = {Picaso: Enhancing API Recommendations with Relevant Stack Overflow Posts},
  booktitle = {2023 IEEE/ACM 20th International Conference on Mining Software Repositories (MSR)},
  year = {2023},
  pages = {92-103},
  doi = {https://doi.org/10.1109/MSR59073.2023.00025}
}
Diamantopoulos, T., Nastos, D.-N. and Symeonidis, A. Semantically-enriched Jira Issue Tracking Data 2023 2023 IEEE/ACM 20th International Conference on Mining Software Repositories (MSR), pp. 218-222  inproceedings DOI  
BibTeX:
@inproceedings{2023-58,
  author = {Diamantopoulos, Themistoklis and Nastos, Dimitrios-Nikitas and Symeonidis, Andreas},
  title = {Semantically-enriched Jira Issue Tracking Data},
  booktitle = {2023 IEEE/ACM 20th International Conference on Mining Software Repositories (MSR)},
  year = {2023},
  pages = {218-222},
  doi = {https://doi.org/10.1109/MSR59073.2023.00039}
}
Colavito, G., Lanubile, F. and Novielli, N. Few-Shot Learning for Issue Report Classification 2023 2023 IEEE/ACM 2nd International Workshop on Natural Language-Based Software Engineering (NLBSE), pp. 16-19  inproceedings DOI  
BibTeX:
@inproceedings{2024-45-4,
  author = {Colavito, Giuseppe and Lanubile, Filippo and Novielli, Nicole},
  title = {Few-Shot Learning for Issue Report Classification},
  booktitle = {2023 IEEE/ACM 2nd International Workshop on Natural Language-Based Software Engineering (NLBSE)},
  year = {2023},
  pages = {16-19},
  doi = {https://doi.org/10.1109/NLBSE59153.2023.00011}
}
Alhindi, W., Aleid, A., Jenhani, I. and Mkaouer, M.W. Issue-Labeler: an ALBERT-based Jira Plugin for Issue Classification 2023 2023 IEEE/ACM 10th International Conference on Mobile Software Engineering and Systems (MOBILESoft), pp. 40-43  inproceedings DOI  
BibTeX:
@inproceedings{2024-62-2,
  author = {Alhindi, Waleed and Aleid, Abdulrahman and Jenhani, Ilyes and Mkaouer, Mohamed Wiem},
  title = {Issue-Labeler: an ALBERT-based Jira Plugin for Issue Classification},
  booktitle = {2023 IEEE/ACM 10th International Conference on Mobile Software Engineering and Systems (MOBILESoft)},
  year = {2023},
  pages = {40-43},
  doi = {https://doi.org/10.1109/MOBILSoft59058.2023.00012}
}
Ezzini, S., Abualhaija, S., Arora, C. and Sabetzadeh, M. AI-based Question Answering Assistance for Analyzing Natural-language Requirements 2023 2023 IEEE/ACM 45th International Conference on Software Engineering (ICSE), pp. 1277-1289  inproceedings DOI  
BibTeX:
@inproceedings{2024-84-1,
  author = {Ezzini, Saad and Abualhaija, Sallam and Arora, Chetan and Sabetzadeh, Mehrdad},
  title = {AI-based Question Answering Assistance for Analyzing Natural-language Requirements},
  booktitle = {2023 IEEE/ACM 45th International Conference on Software Engineering (ICSE)},
  year = {2023},
  pages = {1277-1289},
  doi = {https://doi.org/10.1109/ICSE48619.2023.00113}
}
Lu, J., Yu, L., Li, X., Yang, L. and Zuo, C. LLaMA-Reviewer: Advancing Code Review Automation with Large Language Models through Parameter-Efficient Fine-Tuning 2023 2023 IEEE 34th International Symposium on Software Reliability Engineering (ISSRE), pp. 647-658  inproceedings DOI  
BibTeX:
@inproceedings{2025-21-4,
  author = {Lu, Junyi and Yu, Lei and Li, Xiaojia and Yang, Li and Zuo, Chun},
  title = {LLaMA-Reviewer: Advancing Code Review Automation with Large Language Models through Parameter-Efficient Fine-Tuning},
  booktitle = {2023 IEEE 34th International Symposium on Software Reliability Engineering (ISSRE)},
  year = {2023},
  pages = {647-658},
  doi = {https://doi.org/10.1109/ISSRE59848.2023.00026}
}
Malkadi, A., Tayeb, A. and Haiduc, S. Improving Code Extraction from Coding Screencasts Using a Code-Aware Encoder-Decoder Model 2023 2023 38th IEEE/ACM International Conference on Automated Software Engineering (ASE), pp. 1492-1504  inproceedings DOI  
BibTeX:
@inproceedings{2025-52-2,
  author = {Malkadi, Abdulkarim and Tayeb, Ahmad and Haiduc, Sonia},
  title = {Improving Code Extraction from Coding Screencasts Using a Code-Aware Encoder-Decoder Model},
  booktitle = {2023 38th IEEE/ACM International Conference on Automated Software Engineering (ASE)},
  year = {2023},
  pages = {1492-1504},
  doi = {https://doi.org/10.1109/ASE56229.2023.00184}
}
Yang, L., Xu, J., Zhang, Y., Zhang, H. and Bacchelli, A. EvaCRC: Evaluating Code Review Comments 2023 Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, pp. 275–287  inproceedings DOI  
BibTeX:
@inproceedings{2025-53-2,
  author = {Yang, Lanxin and Xu, Jinwei and Zhang, Yifan and Zhang, He and Bacchelli, Alberto},
  title = {EvaCRC: Evaluating Code Review Comments},
  booktitle = {Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering},
  year = {2023},
  pages = {275–287},
  doi = {https://doi.org/10.1145/3611643.3616245}
}
Lin, B., Wang, S., Liu, Z., Liu, Y., Xia, X. and Mao, X. CCT5: A Code-Change-Oriented Pre-trained Model 2023 Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, pp. 1509–1521  inproceedings DOI  
BibTeX:
@inproceedings{2025-97-1,
  author = {Lin, Bo and Wang, Shangwen and Liu, Zhongxin and Liu, Yepang and Xia, Xin and Mao, Xiaoguang},
  title = {CCT5: A Code-Change-Oriented Pre-trained Model},
  booktitle = {Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering},
  year = {2023},
  pages = {1509–1521},
  doi = {https://doi.org/10.1145/3611643.3616339}
}
Obie, H.O., Ilekura, I., Du, H., Shahin, M., Grundy, J., Li, L., Whittle, J. and Turhan, B. On the Violation of Honesty in Mobile Apps: Automated Detection and Categories 2022 2022 IEEE/ACM 19th International Conference on Mining Software Repositories (MSR), pp. 321-332  inproceedings DOI  
BibTeX:
@inproceedings{2022-69,
  author = {Obie, Humphrey O. and Ilekura, Idowu and Du, Hung and Shahin, Mojtaba and Grundy, John and Li, Li and Whittle, Jon and Turhan, Burak},
  title = {On the Violation of Honesty in Mobile Apps: Automated Detection and Categories},
  booktitle = {2022 IEEE/ACM 19th International Conference on Mining Software Repositories (MSR)},
  year = {2022},
  pages = {321-332},
  doi = {https://doi.org/10.1145/3524842.3527937}
}
Pasuksmit, J., Thongtanunam, P. and Karunasekera, S. Towards Reliable Agile Iterative Planning via Predicting Documentation Changes of Work Items 2022 2022 IEEE/ACM 19th International Conference on Mining Software Repositories (MSR), pp. 35-47  inproceedings DOI  
BibTeX:
@inproceedings{2022-98,
  author = {Pasuksmit, Jirat and Thongtanunam, Patanamon and Karunasekera, Shanika},
  title = {Towards Reliable Agile Iterative Planning via Predicting Documentation Changes of Work Items},
  booktitle = {2022 IEEE/ACM 19th International Conference on Mining Software Repositories (MSR)},
  year = {2022},
  pages = {35-47},
  doi = {https://doi.org/10.1145/3524842.3528445}
}
Nema, P., Anthonysamy, P., Taft, N. and Peddinti, S.T. Analyzing User Perspectives on Mobile App Privacy at Scale 2022 2022 IEEE/ACM 44th International Conference on Software Engineering (ICSE), pp. 112-124  inproceedings DOI  
BibTeX:
@inproceedings{2023-3-1,
  author = {Nema, Preksha and Anthonysamy, Pauline and Taft, Nina and Peddinti, Sai Teia},
  title = {Analyzing User Perspectives on Mobile App Privacy at Scale},
  booktitle = {2022 IEEE/ACM 44th International Conference on Software Engineering (ICSE)},
  year = {2022},
  pages = {112-124},
  doi = {https://doi.org/10.1145/3510003.3510079}
}
Wang, Y., Wang, J., Zhang, H., Ming, X., Shi, L. and Wang, Q. Where is Your App Frustrating Users? 2022 2022 IEEE/ACM 44th International Conference on Software Engineering (ICSE), pp. 2427-2439  inproceedings DOI  
BibTeX:
@inproceedings{2023-3-3,
  author = {Wang, Yawen and Wang, Junjie and Zhang, Hongyu and Ming, Xuran and Shi, Lin and Wang, Qing},
  title = {Where is Your App Frustrating Users?},
  booktitle = {2022 IEEE/ACM 44th International Conference on Software Engineering (ICSE)},
  year = {2022},
  pages = {2427-2439},
  doi = {https://doi.org/10.1145/3510003.3510189}
}
Izadi, M., Akbari, K. and Heydarnoori, A. Predicting the objective and priority of issue reports in software repositories 2022 Empirical Software Engineering
Vol. 27(2), pp. 50 
article DOI  
BibTeX:
@article{2023-35-2,
  author = {Izadi, Maliheh and Akbari, Kiana and Heydarnoori, Abbas},
  title = {Predicting the objective and priority of issue reports in software repositories},
  journal = {Empirical Software Engineering},
  year = {2022},
  volume = {27},
  number = {2},
  pages = {50},
  doi = {https://doi.org/10.1007/s10664-021-10085-3}
}
Wei, M., Harzevili, N.S., Huang, Y., Wang, J. and Wang, S. CLEAR: Contrastive Learning for API Recommendation 2022 2022 IEEE/ACM 44th International Conference on Software Engineering (ICSE), pp. 376-387  inproceedings DOI  
BibTeX:
@inproceedings{2023-54-2,
  author = {Wei, Moshi and Harzevili, Nima Shiri and Huang, Yuchao and Wang, Junjie and Wang, Song},
  title = {CLEAR: Contrastive Learning for API Recommendation},
  booktitle = {2022 IEEE/ACM 44th International Conference on Software Engineering (ICSE)},
  year = {2022},
  pages = {376-387},
  doi = {https://doi.org/10.1145/3510003.3510159}
}
Zhang, T., Irsan, I.C., Thung, F., Han, D., Lo, D. and Jiang, L. Automatic Pull Request Title Generation 2022 2022 IEEE International Conference on Software Maintenance and Evolution (ICSME), pp. 71-81  inproceedings DOI  
BibTeX:
@inproceedings{2024-45-1,
  author = {Zhang, Ting and Irsan, Ivana Clairine and Thung, Ferdian and Han, DongGyun and Lo, David and Jiang, Lingxiao},
  title = {Automatic Pull Request Title Generation},
  booktitle = {2022 IEEE International Conference on Software Maintenance and Evolution (ICSME)},
  year = {2022},
  pages = {71-81},
  doi = {https://doi.org/10.1109/ICSME55016.2022.00015}
}
Siddiq, M.L. and Santos, J.C.S. BERT-Based GitHub Issue Report Classification 2022 2022 IEEE/ACM 1st International Workshop on Natural Language-Based Software Engineering (NLBSE), pp. 33-36  inproceedings DOI  
BibTeX:
@inproceedings{2024-45-2,
  author = {Siddiq, Mohammed Latif and Santos, Joanna C. S.},
  title = {BERT-Based GitHub Issue Report Classification},
  booktitle = {2022 IEEE/ACM 1st International Workshop on Natural Language-Based Software Engineering (NLBSE)},
  year = {2022},
  pages = {33-36},
  doi = {https://doi.org/10.1145/3528588.3528660}
}
Izadi, M. CatIss: An Intelligent Tool for Categorizing Issues Reports using Transformers 2022 2022 IEEE/ACM 1st International Workshop on Natural Language-Based Software Engineering (NLBSE), pp. 44-47  inproceedings DOI  
BibTeX:
@inproceedings{2024-45-3,
  author = {Izadi, Maliheh},
  title = {CatIss: An Intelligent Tool for Categorizing Issues Reports using Transformers},
  booktitle = {2022 IEEE/ACM 1st International Workshop on Natural Language-Based Software Engineering (NLBSE)},
  year = {2022},
  pages = {44-47},
  doi = {https://doi.org/10.1145/3528588.3528662}
}
Bharadwaj, S. and Kadam, T. GitHub Issue Classification Using BERT-Style Models 2022 2022 IEEE/ACM 1st International Workshop on Natural Language-Based Software Engineering (NLBSE), pp. 40-43  inproceedings DOI  
BibTeX:
@inproceedings{2024-45-5,
  author = {Bharadwaj, Shikhar and Kadam, Tushar},
  title = {GitHub Issue Classification Using BERT-Style Models},
  booktitle = {2022 IEEE/ACM 1st International Workshop on Natural Language-Based Software Engineering (NLBSE)},
  year = {2022},
  pages = {40-43},
  doi = {https://doi.org/10.1145/3528588.3528663}
}
Wang, J., Zhang, X., Chen, L. and Xie, X. Personalizing label prediction for GitHub issues 2022 Information and Software Technology
Vol. 145, pp. 106845 
article DOI  
BibTeX:
@article{2024-45-6,
  author = {Jun Wang and Xiaofang Zhang and Lin Chen and Xiaoyuan Xie},
  title = {Personalizing label prediction for GitHub issues},
  journal = {Information and Software Technology},
  year = {2022},
  volume = {145},
  pages = {106845},
  doi = {https://doi.org/10.1016/j.infsof.2022.106845}
}
Zhang, T., Irsan, I.C., Thung, F., Han, D., Lo, D. and Jiang, L. iTiger: an automatic issue title generation tool 2022 Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, pp. 1637–1641  inproceedings DOI  
BibTeX:
@inproceedings{2024-45-7,
  author = {Zhang, Ting and Irsan, Ivana Clairine and Thung, Ferdian and Han, DongGyun and Lo, David and Jiang, Lingxiao},
  title = {iTiger: an automatic issue title generation tool},
  booktitle = {Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering},
  year = {2022},
  pages = {1637–1641},
  doi = {https://doi.org/10.1145/3540250.3558934}
}
Colavito, G., Lanubile, F. and Novielli, N. Issue Report Classification Using Pre-trained Language Models 2022 2022 IEEE/ACM 1st International Workshop on Natural Language-Based Software Engineering (NLBSE), pp. 29-32  inproceedings DOI  
BibTeX:
@inproceedings{2024-62-1,
  author = {Colavito, Giuseppe and Lanubile, Filippo and Novielli, Nicole},
  title = {Issue Report Classification Using Pre-trained Language Models},
  booktitle = {2022 IEEE/ACM 1st International Workshop on Natural Language-Based Software Engineering (NLBSE)},
  year = {2022},
  pages = {29-32},
  doi = {https://doi.org/10.1145/3528588.3528659}
}
Li, L., Yang, L., Jiang, H., Yan, J., Luo, T., Hua, Z., Liang, G. and Zuo, C. AUGER: Automatically Generating Review Comments with Pre-training Models 2022 Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, pp. 1009–1021  inproceedings DOI  
BibTeX:
@inproceedings{2025-21-1,
  author = {Li, Lingwei and Yang, Li and Jiang, Huaxi and Yan, Jun and Luo, Tiejian and Hua, Zihan and Liang, Geng and Zuo, Chun},
  title = {AUGER: Automatically Generating Review Comments with Pre-training Models},
  booktitle = {Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering},
  year = {2022},
  pages = {1009–1021},
  doi = {https://doi.org/10.1145/3540250.3549099}
}
Li, Z., Lu, S., Guo, D., Duan, N., Jannu, S., Jenks, G., Majumder, D., Green, J., Svyatkovskiy, A., Fu, S. and Sundaresan, N. Automating Code Review Activities by Large-Scale Pre-training 2022 Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, pp. 1035–1047  inproceedings DOI  
BibTeX:
@inproceedings{2025-21-2,
  author = {Li, Zhiyu and Lu, Shuai and Guo, Daya and Duan, Nan and Jannu, Shailesh and Jenks, Grant and Majumder, Deep and Green, Jared and Svyatkovskiy, Alexey and Fu, Shengyu and Sundaresan, Neel},
  title = {Automating Code Review Activities by Large-Scale Pre-training},
  booktitle = {Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering},
  year = {2022},
  pages = {1035–1047},
  doi = {https://doi.org/10.1145/3540250.3549081}
}
Tufano, R., Masiero, S., Mastropaolo, A., Pascarella, L., Poshyvanyk, D. and Bavota, G. Using Pre-Trained Models to Boost Code Review Automation 2022 2022 IEEE/ACM 44th International Conference on Software Engineering (ICSE), pp. 2291-2302  inproceedings DOI  
BibTeX:
@inproceedings{2025-21-5,
  author = {Tufano, Rosalia and Masiero, Simone and Mastropaolo, Antonio and Pascarella, Luca and Poshyvanyk, Denys and Bavota, Gabriele},
  title = {Using Pre-Trained Models to Boost Code Review Automation},
  booktitle = {2022 IEEE/ACM 44th International Conference on Software Engineering (ICSE)},
  year = {2022},
  pages = {2291-2302},
  doi = {https://doi.org/10.1145/3510003.3510621}
}
Yang, C., Thung, F. and Lo, D. Efficient Search of Live-Coding Screencasts from Online Videos 2022 2022 IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER), pp. 73-77  inproceedings DOI  
BibTeX:
@inproceedings{2025-52-1,
  author = {Yang, Chengran and Thung, Ferdian and Lo, David},
  title = {Efficient Search of Live-Coding Screencasts from Online Videos},
  booktitle = {2022 IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER)},
  year = {2022},
  pages = {73-77},
  doi = {https://doi.org/10.1109/SANER53432.2022.00021}
}
Rahman, S., Koana, U.A. and Nayebi, M. Example Driven Code Review Explanation 2022 Proceedings of the 16th ACM / IEEE International Symposium on Empirical Software Engineering and Measurement, pp. 307–312  inproceedings DOI  
BibTeX:
@inproceedings{2025-53-3,
  author = {Rahman, Shadikur and Koana, Umme Ayman and Nayebi, Maleknaz},
  title = {Example Driven Code Review Explanation},
  booktitle = {Proceedings of the 16th ACM / IEEE International Symposium on Empirical Software Engineering and Measurement},
  year = {2022},
  pages = {307–312},
  doi = {https://doi.org/10.1145/3544902.3546639}
}
Haering, M., Stanik, C. and Maalej, W. Automatically Matching Bug Reports With Related App Reviews 2021 2021 IEEE/ACM 43rd International Conference on Software Engineering (ICSE), pp. 970-981  inproceedings DOI  
BibTeX:
@inproceedings{2022-98-1,
  author = {Haering, Marlo and Stanik, Christoph and Maalej, Walid},
  title = {Automatically Matching Bug Reports With Related App Reviews},
  booktitle = {2021 IEEE/ACM 43rd International Conference on Software Engineering (ICSE)},
  year = {2021},
  pages = {970-981},
  doi = {https://doi.org/10.1109/ICSE43902.2021.00092}
}
Kula, E., Deursen, A.v. and Gousios, G. Modeling Team Dynamics for the Characterization and Prediction of Delays in User Stories 2021 2021 36th IEEE/ACM International Conference on Automated Software Engineering (ASE), pp. 991-1002  inproceedings DOI  
BibTeX:
@inproceedings{2022-98-2,
  author = {Kula, Elvan and Deursen, Arie van and Gousios, Georgios},
  title = {Modeling Team Dynamics for the Characterization and Prediction of Delays in User Stories},
  booktitle = {2021 36th IEEE/ACM International Conference on Automated Software Engineering (ASE)},
  year = {2021},
  pages = {991-1002},
  doi = {https://doi.org/10.1109/ASE51524.2021.9678939}
}
Wang, J., Zhang, X. and Chen, L. How well do pre-trained contextual language representations recommend labels for GitHub issues? 2021 Knowledge-Based Systems
Vol. 232, pp. 107476 
article DOI  
BibTeX:
@article{2023-35-1,
  author = {Jun Wang and Xiaofang Zhang and Lin Chen},
  title = {How well do pre-trained contextual language representations recommend labels for GitHub issues?},
  journal = {Knowledge-Based Systems},
  year = {2021},
  volume = {232},
  pages = {107476},
  doi = {https://doi.org/10.1016/j.knosys.2021.107476}
}
Kang, Y., Wang, Z., Zhang, H., Chen, J. and You, H. APIRecX: Cross-Library API Recommendation via Pre-Trained Language Model 2021 Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, pp. 3425-3436  inproceedings DOI  
BibTeX:
@inproceedings{2023-54-1,
  author = {Kang, Yuning and Wang, Zan  and Zhang, Hongyu and Chen, Junjie and You, Hanmo},
  title = {APIRecX: Cross-Library API Recommendation via Pre-Trained Language Model},
  booktitle = {Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing},
  year = {2021},
  pages = {3425-3436},
  doi = {https://doi.org/10.18653/v1/2021.emnlp-main.275}
}
Sarwar, M.U., Zafar, S., Mkaouer, M.W., Walia, G.S. and Malik, M.Z. Multi-label Classification of Commit Messages using Transfer Learning 2020 2020 IEEE International Symposium on Software Reliability Engineering Workshops (ISSREW), pp. 37-42  inproceedings DOI  
BibTeX:
@inproceedings{2024-14-1,
  author = {Sarwar, Muhammad Usman and Zafar, Sarim and Mkaouer, Mohamed Wiem and Walia, Gursimran Singh and Malik, Muhammad Zubair},
  title = {Multi-label Classification of Commit Messages using Transfer Learning},
  booktitle = {2020 IEEE International Symposium on Software Reliability Engineering Workshops (ISSREW)},
  year = {2020},
  pages = {37-42},
  doi = {https://doi.org/10.1109/ISSREW51248.2020.00034}
}