AgenticFlict is a public dataset of 29K+ textual merge conflicts from AI agent PRs, collected via merge simulation on 107K processed PRs and showing a 27.67% conflict rate with variation across agents.
Hassan, Mohamed Nasser, and Parminder Flora
3 Pith papers cite this work. Polarity classification is still indexing.
citation-role summary
citation-polarity summary
roles
background 1polarities
background 1representative citing papers
PrevaRank ranks plausible patches from APR tools using similarity to historic fix features, improving correct fix placement in top ranks on Defects4J bugs.
Extends the Checker Framework with a sound static checker that lifts JDBC type-mismatch errors from runtime to compile time, supporting cross-method checks via optional annotations on unmodified Java code.
citing papers explorer
-
AgenticFlict: A Large-Scale Dataset of Merge Conflicts in AI Coding Agent Pull Requests on GitHub
AgenticFlict is a public dataset of 29K+ textual merge conflicts from AI agent PRs, collected via merge simulation on 107K processed PRs and showing a 27.67% conflict rate with variation across agents.
-
Ranking Plausible Patches by Historic Feature Frequencies
PrevaRank ranks plausible patches from APR tools using similarity to historic fix features, improving correct fix placement in top ranks on Defects4J bugs.
-
Static Type Checking for Database Access Code
Extends the Checker Framework with a sound static checker that lifts JDBC type-mismatch errors from runtime to compile time, supporting cross-method checks via optional annotations on unmodified Java code.