| 2025 | Mining a Decade of Event Impacts on Contributor Dynamics in Ethereum: A Longitudinal Study. | Matteo Vaccargiu, Sabrina Aufiero, Cheick Tidiane Ba, Silvia Bartolucci, Richard G. Clegg, Daniel Graziotin, Rumyana Neykova, Roberto Tonelli, Giuseppe Destefanis |
| 2025 | CARDS: A collection of package, revision, and miscellaneous dependency graphs. | Euxane Tran-Girard, Laurent Bulteau, Pierre-Yves David |
| 2025 | It's About Time: An Empirical Study of Date and Time Bugs in Open-Source Python Software. | Shrey Tiwari, Serena Chen, Alexander Joukov, Peter Vandervelde, Ao Li, Rohan Padhye |
| 2025 | Intelligent Semantic Matching (ISM) for Video Tutorial Search using Transformer Models. | Ahmad J. Tayeb, Sonia Haiduc |
| 2025 | Mining for Lags in Updating Critical Security Threats: A Case Study of Log4j Library. | Hidetake Tanaka, Kazuma Yamasaki, Momoka Hirose, Takashi Nakano, Youmei Fan, Kazumasa Shimari, Raula Gaikovina Kula, Kenichi Matsumoto |
| 2025 | OSPtrack: A Labeled Dataset Targeting Simulated Execution of Open-Source Software. | Zhuoran Tan, Christos Anagnostopoulos, Jeremy Singer |
| 2025 | Prompting in the Wild: An Empirical Study of Prompt Evolution in Software Repositories. | Mahan Tafreshipour, Aaron Imani, Eric Huang, Eduardo Santana de Almeida, Thomas Zimmermann, Iftekhar Ahmed |
| 2025 | On the Evolution of Unused Dependencies in Java Project Releases: An Empirical Study. | Nabhan Suwanachote, Yagut Shakizada, Yutaro Kashiwa, Bin Lin, Hajimu Iida |
| 2025 | Wild SBOMs: a Large-scale Dataset of Software Bills of Materials from Public Code. | Luis Soeiro, Thomas Robert, Stefano Zacchiroli |
| 2025 | It Works (only) on My Machine: A Study on Reproducibility Smells in Ansible Scripts. | Ghazal Sobhani, Israat Haque, Tushar Sharma |
| 2025 | Measuring InnerSource Value. | Chamindra de Silva, Daniel Izquierdo-Cortazar |
| 2025 | PyExamine: A Comprehensive, Un-Opinionated Smell Detection Tool for Python. | Karthik Shivashankar, Antonio Martini |
| 2025 | Prompt Engineering or Fine-Tuning: An Empirical Assessment of LLMs for Code. | Jiho Shin, Clark Tang, Tahmineh Mohati, Maleknaz Nayebi, Song Wang, Hadi Hemmati |
| 2025 | Cascading Effects: Analyzing Project Failure Impact in the Maven Central Ecosystem. | Mina Shehata, Saidmakhmud Makhkamjonoov, Mahad Syed, Esteban Parra |
| 2025 | Dependency Dilemmas: A Comparative Study of Independent and Dependent Artifacts in Maven Central Ecosystem. | Mehedi Hasan Shanto, Muhammad Asaduzzaman, Manishankar Mondal, Shaiful Alam Chowdhury |
| 2025 | On the calibration of Just-in-time Defect Prediction. | Xhulja Shahini, Jone Bartel, Klaus Pohl |
| 2025 | JPerfEvo: A Tool for Tracking Method-Level Performance Changes in Java Projects. | Kaveh Shahedi, Maxime Lamothe, Foutse Khomh, Heng Li |
| 2025 | Faster Releases, Fewer Risks: A Study on Maven Artifact Vulnerabilities and Lifecycle Management. | Md Shafiullah Shafin, Md. Fazle Rabbi, S. M. Mahedy Hasan, Minhaz F. Zibran |
| 2025 | Harnessing Large Language Models for Curated Code Reviews. | Oussama Ben Sghaier, Martin Weyssow, Houari A. Sahraoui |
| 2025 | CoPhi - Mining C/C++ Packages for Conan Ecosystem Analysis. | Vivek Sarkar, Anemone Kampktter, Ben Hermann |
| 2025 | How Much Do Code Language Models Remember? An Investigation on Data Extraction Attacks Before and After Fine-tuning. | Fabio Salerno, Ali Al-Kaswan, Maliheh Izadi |
| 2025 | Understanding the Popularity of Packages in Maven Ecosystem. | Sadman Jashim Sakib, Muhammad Asaduzzaman, Curtis Bright, Cole Morgan |
| 2025 | MaLAware: Automating the Comprehension of Malicious Software Behaviours using Large Language Models (LLMs). | Bikash Saha, Nanda Rani, Sandeep Kumar Shukla |
| 2025 | SnipGen: A Mining Repository Framework for Evaluating LLMs for Code. | Daniel Rodrguez-Crdenas, Alejandro Velasco, Denys Poshyvanyk |
| 2025 | Towards Security Commit Message Standardization. | Sofia Reis, Rui Abreu, Corina Pasareanu |