4 papers
Adversarial Moral Stress Testing of Large Language Models
Saeid Jamshidi, Foutse Khomh, Arghavan Moradi Dakhel +3
Evaluating the ethical robustness of large language models (LLMs) deployed in software systems remains challenging, particularly under sustained adversarial user interaction. Exist…
Dynasto: Validity-Aware Dynamic-Static Parameter Optimization for Autonomous Driving Testing
Dmytro Humeniuk, Mohammad Hamdaqa, Houssem Ben Braiek +2
Extensive simulation-based testing is important for assuring the safety of autonomous driving systems (ADS). However, generating safety-critical traffic scenarios remains challengi…
Refactoring with LLMs: Bridging Human Expertise and Machine Understanding
Yonnel Chen Kuang Piao, Jean Carlors Paul, Leuson Da Silva +3
Code refactoring is a fundamental software engineering practice aimed at improving code quality and maintainability. Despite its importance, developers often neglect refactoring du…
PRIMG : Efficient LLM-driven Test Generation Using Mutant Prioritization
Mohamed Salah Bouafif, Mohammad Hamdaqa, Edward Zulkoski
Mutation testing is a widely recognized technique for assessing and enhancing the effectiveness of software test suites by introducing deliberate code mutations. However, its appli…