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TBar: Revisiting Template-based Automated Program Repair
Liu, Kui; Koyuncu, Anil; Kim, Dongsun et al.
2019In 28th ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA)
Peer reviewed
 

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Keywords :
Automated program repair; fix pattern; empirical assessment
Abstract :
[en] We revisit the performance of template-based APR to build com-prehensive knowledge about the effectiveness of fix patterns, andto highlight the importance of complementary steps such as faultlocalization or donor code retrieval. To that end, we first investi-gate the literature to collect, summarize and label recurrently-usedfix patterns. Based on the investigation, we buildTBar, a straight-forward APR tool that systematically attempts to apply these fixpatterns to program bugs. We thoroughly evaluateTBaron the De-fects4J benchmark. In particular, we assess the actual qualitative andquantitative diversity of fix patterns, as well as their effectivenessin yielding plausible or correct patches. Eventually, we find that,assuming a perfect fault localization,TBarcorrectly/plausibly fixes74/101 bugs. Replicating a standard and practical pipeline of APRassessment, we demonstrate thatTBarcorrectly fixes 43 bugs fromDefects4J, an unprecedented performance in the literature (includ-ing all approaches, i.e., template-based, stochastic mutation-basedor synthesis-based APR).
Research center :
Interdisciplinary Centre for Security, Reliability and Trust (SnT) > Security Design and Validation Research Group (SerVal)
Disciplines :
Computer science
Author, co-author :
Liu, Kui ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)
Koyuncu, Anil ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)
Kim, Dongsun
Bissyande, Tegawendé François D Assise  ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)
External co-authors :
yes
Language :
English
Title :
TBar: Revisiting Template-based Automated Program Repair
Publication date :
July 2019
Event name :
28th ACM SIGSOFT International Symposium on Software Testing and Analysis
Event date :
from 15-07-2019 to 19-07-2019
Audience :
International
Main work title :
28th ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA)
Peer reviewed :
Peer reviewed
Focus Area :
Computational Sciences
FnR Project :
FNR10449467 - Automatic Bug Fix Recommendation: Improving Software Repair And Reducing Time-to-fix Delays In Software Development Projects, 2015 (01/02/2016-31/01/2019) - Tegawendé François D'assise Bissyandé
Funders :
FNR - Fonds National de la Recherche [LU]
Available on ORBilu :
since 30 June 2019

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