| 2023 | Calibrating Deep Learning-based Code Smell Detection using Human Feedback. | Himesh Nandani, Mootez Saad, Tushar Sharma |
| 2023 | Symbolic Execution to Detect Semantic Merge Conflicts. | Ward Muylaert, Johannes Hrtel, Coen De Roover |
| 2023 | Unboxing Default Argument Breaking Changes in Scikit Learn. | Joo Eduardo Montandon, Luciana Lourdes Silva, Cristiano Politowski, Ghizlane El-Boussaidi, Marco Tlio Valente |
| 2023 | Explaining Transformer-based Code Models: What Do They Learn? When They Do Not Work? | Ahmad Haji Mohammadkhani, Chakkrit Tantithamthavorn, Hadi Hemmati |
| 2023 | Automating Test-Specific Refactoring Mining: A Mixed-Method Investigation. | Luana Almeida Martins, Heitor A. X. Costa, Mrcio Ribeiro, Fabio Palomba, Ivan Machado |
| 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 | Quality Assurance Awareness in Open Source Software Projects on GitHub. | Ali Khatami, Andy Zaidman |
| 2023 | PASD: A Performance Analysis Approach Through the Statistical Debugging of Kernel Events. | Mohammed Adib Khan, Morteza Noferesti, Naser Ezzati-Jivan |
| 2023 | On the Impact of Language Selection for Training and Evaluating Programming Language Models. | Jonathan Katzy, Maliheh Izadi, Arie van Deursen |
| 2023 | CIGAR: Contrastive Learning for GitHub Action Recommendation. | Jiangnan Huang, Bin Lin |
| 2023 | On Developing and Improving Tools for Architecture-Smell Tracking in Java Systems. | Philipp Gnoyke, Sandro Schulze, Jacob Krger |
| 2023 | Can We Trust the Default Vulnerabilities Severity? | Matteo Esposito, Sergio Moreschini, Valentina Lenarduzzi, David Hstbacka, Davide Falessi |
| 2023 | Uncovering the Hidden Risks: The Importance of Predicting Bugginess in Untouched Methods. | Matteo Esposito, Davide Falessi |
| 2023 | Generating Understandable Unit Tests through End-to-End Test Scenario Carving. | Amirhossein Deljouyi, Andy Zaidman |
| 2023 | ACER: An AST-based Call Graph Generator Framework. | Andrew Chen, Yanfu Yan, Denys Poshyvanyk |
| 2023 | When to Let the Developer Guide: Trade-offs Between Open and Guided Test Amplification. | Carolin E. Brandt, Danyao Wang, Andy Zaidman |
| 2023 | Reproducing and Improving the BugsInPy Dataset. | Faustino Aguilar, Samuel Grayson, Darko Marinov |
| 2022 | Improving Weighted-SBFL by Blocking Spectrum. | Haruka Yoshioka, Yoshiki Higo, Shinji Kusumoto |
| 2022 | N-Lane Bridge Performance Antipattern Analysis Using System-Level Execution Tracing. | Riley VanDonge, Naser Ezzati-Jivan |
| 2022 | Summary-Based Compositional Analysis for Soft Contract Verification. | Bram Vandenbogaerde, Quentin Stivenart, Coen De Roover |
| 2022 | Checking Refactoring Detection Results Using Code Changes Encoding for Improved Accuracy. | Liang Tan, Christoph Bockisch |
| 2022 | Semi-Automatic Refactoring to C++20 Modules: A Semi-Success Story. | Richrd Szalay, Zoltn Porkolb |
| 2022 | A preliminary evaluation on the relationship among architectural and test smells. | Manuel De Stefano, Fabiano Pecorelli, Dario Di Nucci, Andrea De Lucia |
| 2022 | An Empirical Study of Code Smells in Transformer-based Code Generation Techniques. | Mohammed Latif Siddiq, Shafayat H. Majumder, Maisha R. Mim, Sourov Jajodia, Joanna C. S. Santos |
| 2022 | Benchmark Fuzzing for Android Taint Analyses. | Stefan Schott, Felix Pauck |