Reproduce “Hybrid Source Code Change Impact Analysis” on OpenResearch
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About this paper
Katharina Stengg, Christian Macho, Martin Pinzger
The authors present katIA, combining static analysis and language-model reasoning to identify entities impacted by bug fixes. Static analysis builds candidates; a model refines them using bug reports and change details, while katIA-MA divides the work among three agents. On 263 Java commits, katIA-MA improves F1 over katIA-SP, but misses many impacts and the agents’ contribution is unestablished.
Summary by alphaXiv.
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