Abstract
We present a new system, Genesis, that processes human patches to automatically infer code transforms for automatic patch generation. We present results that characterize the effectiveness of the Genesis inference algorithms and the complete Genesis patch generation system working with real-world patches and defects collected from 372 Java projects. To the best of our knowledge, Genesis is the first system to automatically infer patch generation transforms or candidate patch search spaces from previous successful patches.
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CITATION STYLE
Long, F., Amidon, P., & Rinard, M. (2017). Automatic inference of code transforms for patch generation. In Proceedings of the ACM SIGSOFT Symposium on the Foundations of Software Engineering (Vol. Part F130154, pp. 727–739). Association for Computing Machinery. https://doi.org/10.1145/3106237.3106253
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