- author = "Claire {Le Goues} and ThanhVu Nguyen and Stephanie Forrest and Westley Weimer",
- title = "The Evolution of Automated Software Repair",
- journal = "IEEE Transactions on Software Engineering",
- year = "2025",
- volume = "51",
- number = "03",
- pages = "870--873",
- month = mar,
- keywords = "genetic algorithms, genetic programming, APR, automatic programming, corrections, testing, debugging, evolutionary computation, Maintenance engineering, Computer bugs, Software, Codes, Standards, Manuals",
- ISSN = "1939-3520",
-
URL = "
https://doi.ieeecomputersociety.org/10.1109/TSE.2025.3533309",
-
DOI = "
doi:10.1109/TSE.2025.3533309",
- size = "4 pages",
- abstract = "GenProg implemented a novel method for automatically evolving patches to repair test suite failures in legacy C programs. It combined insights from genetic programming and software engineering. Many of the original design decisions in GenProg were ultimately less important than its impact as an existence proof. In particular, it demonstrated that useful patches for non-trivial bugs and programs could be generated automatically. Since the original publication, research in automated program repair has expanded to consider and evaluate many new methods, contexts and defects. As code synthesis and debugging techniques based on machine learning have become popular, it is informative to consider how views on perennial issues in program repair have changed, or remained static, over time. This retrospective discusses the issues of repair quality (including the role of tests), use cases for automated repairs (including the role of humans), and why these approaches work at all.",
- notes = "also known as \cite{10854421}
