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AuthorTitleYearJournal/ProceedingsReftypeDOI/URL
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. (Just Accepted)  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},
  publisher = {Association for Computing Machinery},
  address = {New York, NY, USA},
  issn = {1049-331X},
  doi = {https://doi.org/10.1145/3796510},
  note = {Just Accepted},
  month = feb,
  keywords = {Mining Software Repositories, Software Engineering Chatbots, Software Development Assistants, Empirical Software Engineering}
}
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}
}
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}
}
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}
}
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}
}
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}
}
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}
}
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}
}
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}
}
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}
}
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}
}
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}
}
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}
}
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}
}
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}
}
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}
}
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}
}
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}
}
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}
}
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}
}
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}
}
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}
}
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}
}
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}
}
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}
}
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}
}
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}
}
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}
}
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}
}
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}
}
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}
}
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}
}
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}
}
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}
}
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}
}
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}
}
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}
}
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}
}
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}
}
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}
}
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}
}
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}
}
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}
}
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}
}
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}
}
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}
}
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}
}
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}
}
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}
}
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}
}
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}
}
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}
}
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}
}
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}
}
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}
}
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}
}
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}
}
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}
}
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}
}
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}
}
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}
}
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}
}
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}
}
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}
}
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}
}
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}
}
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}
}
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}
}