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Tailored Source Code Transformations to Synthesize Computationally Diverse Program Variants, , and . eprint arXiv:cs.SE/1401.7635v1, (January 2014)Alleviating patch overfitting with automatic test generation: a study of feasibility and effectiveness for the Nopol repair system., , , , and . Empir. Softw. Eng., 24 (1): 33-67 (2019)Observability and Chaos Engineering on System Calls for Containerized Applications in Docker., , , , and . CoRR, (2019)Realistic Error Injection for System Calls., , , and . CoRR, (2020)DSpot: Test Amplification for Automatic Assessment of Computational Diversity., , , and . CoRR, (2015)Production-Driven Patch Generation., , and . CoRR, (2018)Automatic Test Improvement with DSpot: a Study with Ten Mature Open-Source Projects., , , and . CoRR, (2018)Using Sequence-to-Sequence Learning for Repairing C Vulnerabilities., , and . CoRR, (2019)Self-Supervised Learning to Prove Equivalence Between Programs via Semantics-Preserving Rewrite Rules., , and . CoRR, (2021)GitBug-Actions: Building Reproducible Bug-Fix Benchmarks with GitHub Actions., , and . ICSE Companion, page 1-5. ACM, (2024)