| 2025 | 2025 IEEE International Conference on Source Code Analysis & Manipulation, SCAM 2025, Auckland, New Zealand, September 8-9, 2025 |
| 2025 | Challenging Bug Prediction and Repair Models with Synthetic Bugs. Ali Reza Ibrahimzada, Yang Chen, Ryan Rong, Reyhaneh Jabbarvand |
| 2025 | Configurable Ensembles for Software Similarity: Challenging the Notion of Universal Metrics. Shujun Huang, Sebastian Proksch |
| 2025 | Detecting Exception-Related Behavioural Breaking Changes with UnCheckGuard. Vinayak Sharma, Patrick Lam |
| 2025 | Exploring the Potential of Large Language Models in Fine-Grained Review Comment Classification. Linh Nguyen, Chunhua Liu, Hong Yi Lin, Patanamon Thongtanunam |
| 2025 | FaaSGuard: Secure CI/CD for Serverless Applications - An OpenFaaS Case Study. Amine Barrak, Emna Ksontini, Ridouane Atike, Fehmi Jaafar |
| 2025 | Handling Cyclic Reinforcement of Lattice Values in Incremental Dependency-driven Static Analysis. Jens Van der Plas, Quentin Stiévenart, Coen De Roover |
| 2025 | Insights into Optimizing Research Software: A Case of an Architecture-Smell Detection Tool. Philipp Gnoyke, Sandro Schulze, Jacob Krüger |
| 2025 | Language-Agnostic Generation of Header Comments using Large Language Models. Nathanael Yao, Juergen Dingel, Ali Tizghadam, Ibrahim M. Amer |
| 2025 | On the need to perform comprehensive evaluations of automated program repair benchmarks: Sorald case study. Sumudu Liyanage, Sherlock A. Licorish, Markus Wagner, Stephen G. MacDonell |
| 2025 | Plaintext in the Wild: Investigating Secure Connection Label Accuracy for Android Apps. Yusei Sakuraba, Hiroki Inayoshi, Shoichi Saito, Akito Monden |
| 2025 | Refactoring-Aware Patch Integration Across Structurally Divergent Java Forks. Daniel Ogenrwot, John Businge |
| 2025 | Smelling Secrets: Leveraging Machine Learning and Language Models for Sensitive Parameter Detection in Ansible Security Analysis. Ruben Opdebeeck, Valeria Pontillo, Camilo Velázquez-Rodríguez, Wolfgang De Meuter, Coen De Roover |
| 2025 | Static Analysis as a Feedback Loop: Enhancing LLM-Generated Code Beyond Correctness. Scott Blyth, Sherlock A. Licorish, Christoph Treude, Markus Wagner |
| 2025 | Testing the Untestable? An Empirical Study on the Testing Process of LLM-Powered Software Systems. Cleyton V. C. de Magalhães, Ítalo Santos, Brody Stuart-Verner, Ronnie de Souza Santos |
| 2025 | llvm-dimeta: A library for extracting source-level type information in LLVM IR using debug metadata. Alexander Hück, Sebastian Kreutzer, Christian H. Bischof |