· 2018
Context-aware patch generation for better automated program repair
- 336citations
- 2018year
Short summary
A new context-aware approach significantly improves automated program repair by prioritizing patches that match the program's execution context, overcoming limitations of traditional search-based methods.
AI-generated from the title and abstract; the full text is not read.
Key points
- Automated program repair (APR) struggles with generating correct patches due to search space limitations.
- Two main limitations are: the correct patch not being present, and the search space being too large.
- This work proposes a context-aware patch generation strategy to address these limitations.
- The new method aims to improve the efficiency and success rate of finding correct patches.
AI-generated from the title and abstract; the full text is not read.
Abstract
The effectiveness of search-based automated program repair is limited in the number of correct patches that can be successfully generated. There are two causes of such limitation. First, the search space does not contain the correct patch. Second, the search space is huge and therefore the correct patch cannot be generated (i.e., correct patches are either generated after incorrect plausible ones or not generated within the time budget).
The authors' abstract, as published at the source., 2018 · DOI ↗
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Field: Software
SoftwareComputer Science