International Workshop on Trustworthy and Responsible aUtonomous SysTems(TRUST) Can Open-Weight LLMs Predict Test Outcomes from Traces? A Cross-Subject Boundary Study on Tests4Py
International Workshop on Reliable and trustworthy Automated Software Engineering(RASE) How Grammar-Based Synthetic Data Shapes Behavior Learning: An Empirical Study of Input Generation Strategies
ACM SIGPLAN International Conference on Systems, Programming, Languages, and Applications: Software for Humanity (SPLASH-companion) PyMut4SE: Comprehensive Mutation Testing for Python
ACM Transactions on Software Engineering and Methodology Neural Program Modeling Learning Program-Specific Models that Predict Execution Features from Input Features and vice versa
Automated Software Engineering Conference (ASE) Feature-Focused Test Generation