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Defects4J is a large, peer-reviewed, structured dataset of real-world Javabugs. Each bug in Defects4J is provided with a test suite and at least onefailing test case that triggers the bug. In this paper, we report on anexperiment to explore the effectiveness of automatic repair on Defects4J. Theresult of our experiment shows that 47 bugs of the Defects4J dataset can beautomatically repaired by state-of- the-art repair. This sets a baseline forfuture research on automatic repair for Java. We have manually analyzed 84different patches to assess their real correctness. In total, 9 real Java bugscan be correctly fixed with test-suite based repair. This analysis shows thattest-suite based repair suffers from under-specified bugs, for which trivialand incorrect patches still pass the test suite. With respect to practicalapplicability, it takes in average 14.8 minutes to find a patch. The experimentwas done on a scientific grid, totaling 17.6 days of computation time. Alltheir systems and experimental results are publicly available on Github inorder to facilitate future research on automatic repair.

Automatic Repair of Real Bugs: An Experience Report on the Defects4J Dataset