| 2024 | AUTOGENICS: Automated Generation of Context-Aware Inline Comments for Code Snippets on Programming Q&A Sites Using LLM. Suborno Deb Bappon, Saikat Mondal, Banani Roy |
| 2024 | An Empirical Analysis of Git Commit Logs for Potential Inconsistency in Code Clones. Reishi Yokomori, Katsuro Inoue |
| 2024 | An Empirical Investigation into the use of Dockerfile Preprocessors for Docker Image Management. Wataru Mabuchi, Yutaro Kashiwa, Kenji Fujiwara, Hajimu Iida |
| 2024 | An Empirical Study on Understanding Performance Issues and Causes in Android Apps. Nisha Kumari, Teerath Das, Tommi Mikkonen |
| 2024 | Breaking-Good: Explaining Breaking Dependency Updates with Build Analysis. Frank Reyes, Benoit Baudry, Martin Monperrus |
| 2024 | Catching Smells in the Act: A GitHub Actions Workflow Investigation. Ali Khatami, Cédric Willekens, Andy Zaidman |
| 2024 | Code Search Oriented Node-Enhanced Control Flow Graph Embedding. Yang Xu, Wenliang Peng |
| 2024 | Deciphering Discrepancies: A Comparative Analysis of Docker Image Security. Brittany Boles, Eric O'Donoghue, Assoumer Redempta Manzi Muneza, Garrett Perkins, Clemente Izurieta, Ann Marie Reinhold |
| 2024 | Enhancing Identifier Naming Through Multi-Mask Fine-Tuning of Language Models of Code. Sanidhya Vijayvargiya, Mootez Saad, Tushar Sharma |
| 2024 | Enhancing Recommendations of Composite Refactorings based on the Practice. Ana Carla Bibiano, Daniel Coutinho, Anderson G. Uchôa, Wesley K. G. Assunção, Alessandro Garcia, Rafael Maiani de Mello, Thelma Elita Colanzi, Daniel Tenório Martins de Oliveira, Audrey Vasconcelos, Baldoino Fonseca, Márcio Ribeiro |
| 2024 | Enhancing Security through Modularization: A Counterfactual Analysis of Vulnerability Propagation and Detection Precision. Mohammad Mahdi Abdollahpour, Jens Dietrich, Patrick Lam |
| 2024 | Experiment Using Partial Evaluation for Transformational Debugging. Kanae Tsushima, Robert Glück |
| 2024 | Franc: A Lightweight Framework for High-Quality Code Generation. Mohammed Latif Siddiq, Beatrice Casey, Joanna C. S. Santos |
| 2024 | GitRev: An LLM-Based Gamification Framework for Modern Code Review Activities. Jasem Khelifi, Moataz Chouchen, Ali Ouni, Dong Wang, Raula Gaikovina Kula, Salma Hamza, Mohamed Wiem Mkaouer |
| 2024 | How do Software Engineering Researchers Use GitHub? An Empirical Study of Artifacts & Impact. Kamel Alrashedy, Ahmed Binjahlan |
| 2024 | IEEE International Conference on Source Code Analysis and Manipulation, SCAM 2024, Flagstaff, AZ, USA, October 7-8, 2024 |
| 2024 | Migrating Unit Tests Across Java Applications. Ajay Kumar Jha, Sarah Nadi |
| 2024 | On the Investigation of Exception Pull Request Characteristics: Exploring the Apache Ecosystem. João Lucas Correia, Daniel Coutinho, Alessandro Garcia, Rafael Maiani de Mello, Caio Barbosa, Anderson Oliveira, Wesley K. G. Assunção, Juliana Alves Pereira, Igor Steinmacher, Marco Aurélio Gerosa, Jairo Souza, Johny Arriel |
| 2024 | On the Prevalence, Evolution, and Impact of Code Smells in Simulation Modelling Software. Riasat Mahbub, Mohammad Masudur Rahman, Muhammad Ahsanul Habib |
| 2024 | PROZE: Generating Parameterized Unit Tests Informed by Runtime Data. Deepika Tiwari, Yogya Gamage, Martin Monperrus, Benoit Baudry |
| 2024 | Reinforest: Reinforcing Semantic Code Similarity for Cross-Lingual Code Search Models. Anthony Saieva, Saikat Chakraborty, Gail E. Kaiser |
| 2024 | Software Quality Assurance Analytics: Enabling Software Engineers to Reflect on QA Practices. Ali Khatami, Carolin E. Brandt, Andy Zaidman |
| 2024 | The Fault in our Stars: Quality Assessment of Code Generation Benchmarks. Mohammed Latif Siddiq, Simantika Dristi, Joy Saha, Joanna C. S. Santos |
| 2024 | The Hidden Costs of Automation: An Empirical Study on GitHub Actions Workflow Maintenance. Pablo Valenzuela-Toledo, Alexandre Bergel, Timo Kehrer, Oscar Nierstrasz |
| 2024 | Toward Interactive Optimization of Source Code Differences: An Empirical Study of Its Performance. Tsukasa Yagi, Shinpei Hayashi |