0000000000425185

AUTHOR

Thomas Durieux

0000-0002-1996-6134

showing 1 related works from this author

A comprehensive study of automatic program repair on the QuixBugs benchmark

2021

Abstract Automatic program repair papers tend to repeatedly use the same benchmarks. This poses a threat to the external validity of the findings of the program repair research community. In this paper, we perform an empirical study of automatic repair on a benchmark of bugs called QuixBugs, which has been little studied. In this paper, (1) We report on the characteristics of QuixBugs; (2) We study the effectiveness of 10 program repair tools on it; (3) We apply three patch correctness assessment techniques to comprehensively study the presence of overfitting patches in QuixBugs. Our key results are: (1) 16/40 buggy programs in QuixBugs can be repaired with at least a test suite adequate pa…

FOS: Computer and information sciencesCorrectnessComputer science02 engineering and technologyOverfittingMachine learningcomputer.software_genreMaintenance engineeringExternal validityComputer Science - Software Engineering020204 information systems0202 electrical engineering electronic engineering information engineeringTest suite[INFO]Computer Science [cs]computer.programming_languagebusiness.industry020207 software engineeringSoftware maintenancePython (programming language)Software Engineering (cs.SE)Software bugHardware and ArchitectureBenchmark (computing)Artificial intelligencebusinesscomputerSoftwareInformation Systems
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