ISSTA 2019
Mon 15 - Fri 19 July 2019 Beijing, China
Wed 17 Jul 2019 12:07 - 12:30 at Grand Ballroom - Program Repair Chair(s): Yingfei Xiong

Build systems are essential for modern software development and maintenance since they are widely used to transform source code artifacts into executable software. Previous work shows that build systems break frequently during software evolution. Therefore, automated build-fixing techniques are in huge demand. In this paper we target a mainstream build system, Gradle, which has become the most widely used build system for Java projects in the open-source community (e.g., GitHub). HireBuild, state-of-the-art build-fixing tool for Gradle, has been recently proposed to fix Gradle build failures via mining the history of prior fixes. Although HireBuild has been shown to be effective for fixing real-world Gradle build failures, it was evaluated on only a limited set of build failures, and largely depends on the quality/availability of historical fix information. To investigate the efficacy and limitations of the history-driven build fix, we first construct a new and large build failure dataset from Top-1000 GitHub projects. Then, we evaluate HireBuild on the extended dataset both quantitatively and qualitatively. Inspired by the findings of the study,we propose a simplistic newtechnique that generates potential patches via searching from the present project under test and external resources rather than the historical fix information. According to our experimental results, the simplistic approach based on present information successfully fixes 2X more reproducible build failures than the state-of-art HireBuild based on history fix information. Furthermore, our results also reveal various findings/guidelines for future advanced build failure fixing.

Wed 17 Jul

Displayed time zone: Beijing, Chongqing, Hong Kong, Urumqi change

11:00 - 12:30
Program RepairTechnical Papers at Grand Ballroom
Chair(s): Yingfei Xiong Peking University
11:00
22m
Talk
Crash-avoiding Program Repair
Technical Papers
Xiang Gao National University of Singapore, Sergey Mechtaev University College London, Abhik Roychoudhury National University of Singapore
11:22
22m
Talk
Practical Program Repair via Bytecode MutationArtifacts Functional
Technical Papers
Ali Ghanbari The University of Texas at Dallas, Samuel Benton The University of Texas at Dallas, Lingming Zhang
Pre-print
11:45
22m
Talk
TBar: Revisiting Template-based Automated Program RepairArtifacts Functional
Technical Papers
Kui Liu , Anil Koyuncu University of Luxembourg, Luxembourg, Dongsun Kim Furiosa.ai, Tegawendé F. Bissyandé SnT, University of Luxembourg
Pre-print
12:07
22m
Talk
History-driven Build Failure Fixing: How Far Are We?Distinguished Paper Awards
Technical Papers
Yiling Lou Peking University, China, Junjie Chen Peking University, Lingming Zhang , Dan Hao Peking University, Lu Zhang Peking University