Evaluating Pre-Trained Models for Multi-Language Vulnerability Patching.
CoRR, January, 2025
AI-Driven Software Security: Vulnerability Detection, Patching, and Anti-Fuzzing.
ERCIM News, 2024
On the Coupling between Vulnerabilities and LLM-Generated Mutants: A Study on Vul4J Dataset.
Proceedings of the IEEE Conference on Software Testing, Verification and Validation, 2024
Syntactic Versus Semantic Similarity of Artificial and Real Faults in Mutation Testing Studies.
IEEE Trans. Software Eng., July, 2023
Guiding Quality Assurance Through Context Aware Learning.
PhD thesis, 2023
Cerebro: Static Subsuming Mutant Selection.
IEEE Trans. Software Eng., 2023
Vulnerability Mimicking Mutants.
CoRR, 2023
Assertion Inferring Mutants.
CoRR, 2023
Enabling Efficient Assertion Inference.
Proceedings of the 34th IEEE International Symposium on Software Reliability Engineering, 2023
On Comparing Mutation Testing Tools through Learning-based Mutant Selection.
Proceedings of the IEEE/ACM International Conference on Automation of Software Test, 2023
Learning from what we know: How to perform vulnerability prediction using noisy historical data.
Empir. Softw. Eng., 2022
Syntactic Vs. Semantic similarity of Artificial and Real Faults in Mutation Testing Studies.
CoRR, 2021
Learning To Predict Vulnerabilities From Vulnerability-Fixes: A Machine Translation Approach.
CoRR, 2020
Scalable Object Detection for Stylized Objects.
CoRR, 2017
Extending XQuery with a Pattern Matching Facility.
Proceedings of the Database and XML Technologies, 2010