| 2023 | 23rd IEEE International Working Conference on Source Code Analysis and Manipulation, SCAM 2023, Bogotá, Colombia, October 2-3, 2023 Leon Moonen, Christian D. Newman, Alessandra Gorla |
| 2023 | ACER: An AST-based Call Graph Generator Framework. Andrew Chen, Yanfu Yan, Denys Poshyvanyk |
| 2023 | Applying the Universal Version History Concept to Help De-Risk Copy-Based Code Reuse. David Reid, Audris Mockus |
| 2023 | Automating Test-Specific Refactoring Mining: A Mixed-Method Investigation. Luana Almeida Martins, Heitor A. X. Costa, Márcio Ribeiro, Fabio Palomba, Ivan Machado |
| 2023 | Behind Developer Contributions on Conflicting Merge Scenarios. Gustavo Vale, Eduardo Fernandes, Eduardo Figueiredo, Sven Apel |
| 2023 | CIGAR: Contrastive Learning for GitHub Action Recommendation. Jiangnan Huang, Bin Lin |
| 2023 | Calibrating Deep Learning-based Code Smell Detection using Human Feedback. Himesh Nandani, Mootez Saad, Tushar Sharma |
| 2023 | Can We Trust the Default Vulnerabilities Severity? Matteo Esposito, Sergio Moreschini, Valentina Lenarduzzi, David Hästbacka, Davide Falessi |
| 2023 | Change Pattern Detection for Optimising Incremental Static Analysis. Cindy Wauters, Jens Van der Plas, Quentin Stiévenart, Coen De Roover |
| 2023 | Do Code Quality and Style Issues Differ Across (Non-)Machine Learning Notebooks? Yes! Md. Saeed Siddik, Cor-Paul Bezemer |
| 2023 | Enabling Go Program Analysis in Rascal. Luke Swearngan, Mark Hills |
| 2023 | Evolutionary Feature Dependencies: Analyzing Feature Co-Changes in C Systems. Sandro Schulze, Phillipp Engelke, Jacob Krüger |
| 2023 | Explaining Transformer-based Code Models: What Do They Learn? When They Do Not Work? Ahmad Haji Mohammadkhani, Chakkrit Tantithamthavorn, Hadi Hemmati |
| 2023 | Generating Understandable Unit Tests through End-to-End Test Scenario Carving. Amirhossein Deljouyi, Andy Zaidman |
| 2023 | How They Relate and Leave: Understanding Atoms of Confusion in Open-Source Java Projects. Oton Pinheiro, Lincoln S. Rocha, Windson Viana |
| 2023 | How Well Can Masked Language Models Spot Identifiers That Violate Naming Guidelines? Johannes Villmow, Viola Campos, Jean Petry, Amine Abbad-Andaloussi, Adrian Ulges, Barbara Weber |
| 2023 | Leveraging User-Defined Identifiers for Counterfactual Data Generation in Source Code Vulnerability Detection. Hongyu Kuang, Feng Yang, Long Zhang, Gaigai Tang, Lin Yang |
| 2023 | On Developing and Improving Tools for Architecture-Smell Tracking in Java Systems. Philipp Gnoyke, Sandro Schulze, Jacob Krüger |
| 2023 | On the Impact of Language Selection for Training and Evaluating Programming Language Models. Jonathan Katzy, Maliheh Izadi, Arie van Deursen |
| 2023 | PASD: A Performance Analysis Approach Through the Statistical Debugging of Kernel Events. Mohammed Adib Khan, Morteza Noferesti, Naser Ezzati-Jivan |
| 2023 | PTLVD:Program Slicing and Transformer-based Line-level Vulnerability Detection System. Tao Peng, Shixu Chen, Fei Zhu, Junwei Tang, Junping Liu, Xinrong Hu |
| 2023 | Quality Assurance Awareness in Open Source Software Projects on GitHub. Ali Khatami, Andy Zaidman |
| 2023 | Reproducing and Improving the BugsInPy Dataset. Faustino Aguilar, Samuel Grayson, Darko Marinov |
| 2023 | Symbolic Execution to Detect Semantic Merge Conflicts. Ward Muylaert, Johannes Härtel, Coen De Roover |
| 2023 | The Docker Hub Image Inheritance Network: Construction and Empirical Insights. Ruben Opdebeeck, Jonas Lesy, Ahmed Zerouali, Coen De Roover |
| 2023 | Unboxing Default Argument Breaking Changes in Scikit Learn. João Eduardo Montandon, Luciana Lourdes Silva, Cristiano Politowski, Ghizlane El-Boussaidi, Marco Túlio Valente |
| 2023 | Uncovering the Hidden Risks: The Importance of Predicting Bugginess in Untouched Methods. Matteo Esposito, Davide Falessi |
| 2023 | Using the TypeScript compiler to fix erroneous Node.js snippets. Brittany Reid, Christoph Treude, Markus Wagner |
| 2023 | When to Let the Developer Guide: Trade-offs Between Open and Guided Test Amplification. Carolin E. Brandt, Danyao Wang, Andy Zaidman |