| 2024 | ConDU: Method for On-the-fly Detection of Non-deadlock Concurrency Errors in UAV Software. | Jinseok Park, Chang-Hui Bae, Seongjin Lee |
| 2024 | End-to-End RPA-Like Testing Using Reinforcement Learning. | Ciprian Paduraru, Rares Cristea, Alin Stefanescu |
| 2024 | Does Going Beyond Branch Coverage Make Program Repair Tools More Reliable? | Amirfarhad Nilizadeh, Gary T. Leavens, Corina S. Pasareanu, Xuan-Bach Dinh Le, David R. Cok |
| 2024 | Using Mutation Testing To Improve and Minimize Test Suites for Smart Contracts. | Enzo Nicourt, Benjamin Kushigian, Chandrakana Nandi, Ylis Falcone |
| 2024 | Elevating Software Quality in Agile Environments: The Role of Testing Professionals in Unit Testing. | Lucas Neves, Oscar Campos, Robson Santos, Cleyton V. C. de Magalhes, talo Santos, Ronnie Edson de Souza Santos |
| 2024 | A Survey on the Verification and Validation of Artificial Pancreas Software Systems. | Bara' Nazzal, Manar H. Alalfi, James R. Cordy |
| 2024 | Machine Learning for Cross-Vulnerability Prediction in Smart Contracts. | Hajra Naeem, Manar H. Alalfi |
| 2024 | Active Model Learning of Git Version Control System. | Edi Muskardin, Tamim Burgstaller, Martin Tappler, Bernhard K. Aichernig |
| 2024 | Mutant-Kraken: A Mutation Testing Tool for Kotlin. | Josue Molina-Morales, Lin Deng, Josh Dehlinger, Suranjan Chakraborty |
| 2024 | Improving Patch Correctness Analysis via Random Testing and Large Language Models. | Facundo Molina, Juan Manuel Copia, Alessandra Gorla |
| 2024 | ODACE: An Appium-based Testing Automation Platform for Android Mobile Devices Certification. | Sundos Mojahed, Rjean Drouin, Lokman Sboui |
| 2024 | Test Harness Mutilation. | Samuel Moelius |
| 2024 | Generating Minimalist Adversarial Perturbations to Test Object-Detection Models: An Adaptive Multi-Metric Evolutionary Search Approach. | Cristopher McIntyre-Garcia, Adrien Heymans, Beril Borali, Won-Sook Lee, Shiva Nejati |
| 2024 | TCPGraphix: A Visualization Tool for ML-Powered Test Case Prioritization Data Analysis. | Yara Q. Mahmoud, Akramul Azim, Md. Asif Khan |
| 2024 | Poster: gptCombFuzz: Combinatorial Oriented LLM Seed Generation for effective Fuzzing. | Darshan Lohiya, Monika Rani Golla, Sangharatna Godboley, P. Radha Krishna |
| 2024 | Improving security analysis rule set by relationship identification. | Charles Lohest, Axel Legay |
| 2024 | Automatically Removing Unnecessary Stubbings from Test Suites. | Mengzhen Li, Mattia Fazzini |
| 2024 | KAT: Dependency-Aware Automated API Testing with Large Language Models. | Tri Le, Thien Tran, Duy Cao, Vy Le, Tien N. Nguyen, Vu Nguyen |
| 2024 | Cost of Flaky Tests in Continuous Integration: An Industrial Case Study. | Fabian Leinen, Daniel Elsner, Alexander Pretschner, Andreas Stahlbauer, Michael Sailer, Elmar Jrgens |
| 2024 | MOTIF: A tool for Mutation Testing with Fuzzing. | Jaekwon Lee, Enrico Vigan, Fabrizio Pastore, Lionel C. Briand |
| 2024 | The GitHub Recent Bugs Dataset for Evaluating LLM-Based Debugging Applications. | Jae Yong Lee, Sungmin Kang, Juyeon Yoon, Shin Yoo |
| 2024 | Metamorphic Testing of an Autonomous Delivery Robots Scheduler. | Thomas Laurent, Paolo Arcaini, Xiaoyi Zhang, Fuyuki Ishikawa |
| 2024 | Coverage for Identifying Critical Metadata in Machine Learning Operating Envelopes. | Erin Lanus, Brian Lee, Luis Pol, Daniel Sobien, Justin A. Kauffman, Laura J. Freeman |
| 2024 | Assessing Quality Metrics for Neural Reality Gap Input Mitigation in Autonomous Driving Testing. | Stefano Carlo Lambertenghi, Andrea Stocco |
| 2024 | Summary of "An empirical comparison of combinatorial testing and search-based testing in the context of automated and autonomous driving systems". | Florian Klck, Yihao Li, Jianbo Tao, Franz Wotawa |