ISSTA 2019
Mon 15 - Fri 19 July 2019 Beijing, China
Wed 17 Jul 2019 11:45 - 12:07 at Grand Ballroom - Program Repair Chair(s): Yingfei Xiong

We revisit the performance of template-based APR to build comprehensive knowledge about the effectiveness of fix patterns, and to highlight the importance of complementary steps such as fault localization or donor code retrieval. To that end, we first investigate the literature to collect, summarize and label recurrently-used fix patterns. Based on the investigation, we build TBar, a straightforward APR tool that systematically attempts to apply these fix patterns to program bugs. We thoroughly evaluate TBar on the Defects4J benchmark. In particular, we assess the actual qualitative and quantitative diversity of fix patterns, as well as their effectiveness in yielding plausible or correct patches. Eventually, we find that, assuming a perfect fault localization, TBar correctly/plausibly fixes 74/101 bugs. Replicating a standard and practical pipeline of APR assessment, we demonstrate that TBar correctly fixes 43 bugs from Defects4J, an unprecedented performance in the literature (including all approaches, i.e., template-based, stochastic mutation-based or synthesis-based APR).

Wed 17 Jul

11:00 - 12:30: Technical Papers - Program Repair at Grand Ballroom
Chair(s): Yingfei XiongPeking University
issta-2019-Technical-Papers11:00 - 11:22
Xiang GaoNational University of Singapore, Sergey MechtaevUniversity College London, Abhik RoychoudhuryNational University of Singapore
issta-2019-Technical-Papers11:22 - 11:45
Ali GhanbariThe University of Texas at Dallas, Samuel BentonThe University of Texas at Dallas, Lingming Zhang
issta-2019-Technical-Papers11:45 - 12:07
Kui Liu, Anil KoyuncuUniversity of Luxembourg, Luxembourg, Dongsun, Tegawendé F. BissyandéSnT, University of Luxembourg
issta-2019-Technical-Papers12:07 - 12:30
Yiling LouPeking University, China, Junjie ChenPeking University, Lingming Zhang, Dan HaoPeking University, Lu ZhangPeking University