Abstract
Recent years have seen an explosion of work in automated program repair. While previous work has focused exclusively on tools for single languages, recent work in multi-language transformation has opened the door for multi-language program repair tools. Evaluating the performance of such a tool requires having a benchmark set of similar buggy programs in different languages. We present QuixBugs, consisting of 40 programs translated to both Python and Java, each with a bug on a single line. The QuixBugs benchmark suite is based on problems from the Quixey Challenge, where programmers were given a short buggy program and 1 minute to fix the bug.
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CITATION STYLE
Lin, D., Chen, A., Koppel, J., & Solar-Lezama, A. (2017). QuixBugs: A Multi-Lingual Program Repair Benchmark Set Based on the Quixey Challenge. In SPLASH Companion 2017 - Proceedings Companion of the 2017 ACM SIGPLAN International Conference on Systems, Programming, Languages, and Applications: Software for Humanity (pp. 55–56). Association for Computing Machinery, Inc. https://doi.org/10.1145/3135932.3135941
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