| 2024 | Chatting with AI: Deciphering Developer Conversations with ChatGPT. | Suad Mohamed, Abdullah Parvin, Esteban Parra |
| 2024 | On the Effectiveness of Machine Learning-based Call Graph Pruning: An Empirical Study. | Amir M. Mir, Mehdi Keshani, Sebastian Proksch |
| 2024 | Learning to Predict and Improve Build Successes in Package Ecosystems. | Harshitha Menon, Daniel Nichols, Abhinav Bhatele, Todd Gamblin |
| 2024 | Mining Our Way Back to Incremental Builds for DevOps Pipelines. | Shane McIntosh |
| 2024 | gawd: A Differencing Tool for GitHub Actions Workflows. | Pooya Rostami Mazrae, Alexandre Decan, Tom Mens |
| 2024 | Boosting API Misuse Detection via Integrating API Constraints from Multiple Sources. | Can Li, Jingxuan Zhang, Yixuan Tang, Zhuhang Li, Tianyue Sun |
| 2024 | An Investigation of Patch Porting Practices of the Linux Kernel Ecosystem. | Xingyu Li, Zheng Zhang, Zhiyun Qian, Trent Jaeger, Chengyu Song |
| 2024 | AW4C: A Commit-Aware C Dataset for Actionable Warning Identification. | Zhipeng Liu, Meng Yan, Zhipeng Gao, Dong Li, Xiaohong Zhang, Dan Yang |
| 2024 | TrickyBugs: A Dataset of Corner-case Bugs in Plausible Programs. | Kaibo Liu, Yudong Han, Yiyang Liu, Jie M. Zhang, Zhenpeng Chen, Federica Sarro, Gang Huang, Yun Ma |
| 2024 | Improving Automated Code Reviews: Learning from Experience. | Hong Yi Lin, Patanamon Thongtanunam, Christoph Treude, Wachiraphan Charoenwet |
| 2024 | Thirty-Three Years of Mathematicians and Software Engineers: A Case Study of Domain Expertise and Participation in Proof Assistant Ecosystems. | Gwenyth Lincroft, Minsung Cho, Katherine Hough, Mahsa Bazzaz, Jonathan Bell |
| 2024 | Curated Email-Based Code Reviews Datasets. | Mingzhao Liang, Wachiraphan Charoenwet, Patanamon Thongtanunam |
| 2024 | Are Latent Vulnerabilities Hidden Gems for Software Vulnerability Prediction? An Empirical Study. | Triet Huynh Minh Le, Xiaoning Du, Muhammad Ali Babar |
| 2024 | DRMiner: A Tool For Identifying And Analyzing Refactorings In Dockerfile. | Emna Ksontini, Aycha Abid, Rania Khalsi, Marouane Kessentini |
| 2024 | Exploring the Effect of Multiple Natural Languages on Code Suggestion Using GitHub Copilot. | Kei Koyanagi, Dong Wang, Kotaro Noguchi, Masanari Kondo, Alexander Serebrenik, Yasutaka Kamei, Naoyasu Ubayashi |
| 2024 | The Impact of Code Ownership of DevOps Artefacts on the Outcome of DevOps CI Builds. | Ajiromola Kola-Olawuyi, Nimmi Rashinika Weeraddana, Meiyappan Nagappan |
| 2024 | Availability and Usage of Platform-Specific APIs: A First Empirical Study. | Ricardo de Sousa Job, Andr C. Hora |
| 2024 | Can ChatGPT Support Developers? An Empirical Evaluation of Large Language Models for Code Generation. | Kailun Jin, Chung-Yu Wang, Hung Viet Pham, Hadi Hemmati |
| 2024 | PeaTMOSS: A Dataset and Initial Analysis of Pre-Trained Models in Open-Source Software. | Wenxin Jiang, Jerin Yasmin, Jason Jones, Nicholas Synovic, Jiashen Kuo, Nathaniel Bielanski, Yuan Tian, George K. Thiruvathukal, James C. Davis |
| 2024 | Goblin: A Framework for Enriching and Querying the Maven Central Dependency Graph. | Damien Jaime, Joyce El Haddad, Pascal Poizat |
| 2024 | Dataset: Copy-based Reuse in Open Source Software. | Mahmoud Jahanshahi, Audris Mockus |
| 2024 | A Four-Dimension Gold Standard Dataset for Opinion Mining in Software Engineering. | Md. Rakibul Islam, Md. Fazle Rabbi, Youngeun Jo, Arifa I. Champa, Ethan Young, Camden Wilson, Gavin Scott, Minhaz Fahim Zibran |
| 2024 | Opening the Valve on Pure-Data: Usage Patterns and Programming Practices of a Data-Flow Based Visual Programming Language. | Anisha Islam, Kalvin Eng, Abram Hindle |
| 2024 | On the Executability of R Markdown Files. | Md. Anaytul Islam, Muhammad Asaduzzaman, Shaowei Wang |
| 2024 | Whodunit: Classifying Code as Human Authored or GPT-4 generated- A case study on CodeChef problems. | Oseremen Joy Idialu, Noble Saji Mathews, Rungroj Maipradit, Joanne M. Atlee, Meiyappan Nagappan |