The ManyBugs and IntroClass Benchmarks for Automated Repair of C Programs

The field of automated software repair lacks a set of common benchmark problems. Although benchmark sets are used widely throughout computer science, existing benchmarks are not easily adapted to the problem of automatic defect repair, which has several special requirements. Most important of these...

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Veröffentlicht in:IEEE transactions on software engineering Jg. 41; H. 12; S. 1236 - 1256
Hauptverfasser: Le Goues, Claire, Holtschulte, Neal, Smith, Edward K., Brun, Yuriy, Devanbu, Premkumar, Forrest, Stephanie, Weimer, Westley
Format: Journal Article
Sprache:Englisch
Veröffentlicht: New York IEEE 01.12.2015
IEEE Computer Society
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ISSN:0098-5589, 1939-3520
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Abstract The field of automated software repair lacks a set of common benchmark problems. Although benchmark sets are used widely throughout computer science, existing benchmarks are not easily adapted to the problem of automatic defect repair, which has several special requirements. Most important of these is the need for benchmark programs with reproducible, important defects and a deterministic method for assessing if those defects have been repaired. This article details the need for a new set of benchmarks, outlines requirements, and then presents two datasets, ManyBugs and IntroClass, consisting between them of 1,183 defects in 15 C programs. Each dataset is designed to support the comparative evaluation of automatic repair algorithms asking a variety of experimental questions. The datasets have empirically defined guarantees of reproducibility and benchmark quality, and each study object is categorized to facilitate qualitative evaluation and comparisons by category of bug or program. The article presents baseline experimental results on both datasets for three existing repair methods, GenProg, AE, and TrpAutoRepair, to reduce the burden on researchers who adopt these datasets for their own comparative evaluations.
AbstractList The field of automated software repair lacks a set of common benchmark problems. Although benchmark sets are used widely throughout computer science, existing benchmarks are not easily adapted to the problem of automatic defect repair, which has several special requirements. Most important of these is the need for benchmark programs with reproducible, important defects and a deterministic method for assessing if those defects have been repaired. This article details the need for a new set of benchmarks, outlines requirements, and then presents two datasets, ManyBugs and IntroClass, consisting between them of 1,183 defects in 15 C programs. Each dataset is designed to support the comparative evaluation of automatic repair algorithms asking a variety of experimental questions. The datasets have empirically defined guarantees of reproducibility and benchmark quality, and each study object is categorized to facilitate qualitative evaluation and comparisons by category of bug or program. The article presents baseline experimental results on both datasets for three existing repair methods, GenProg, AE, and TrpAutoRepair, to reduce the burden on researchers who adopt these datasets for their own comparative evaluations.
Author Holtschulte, Neal
Weimer, Westley
Brun, Yuriy
Forrest, Stephanie
Smith, Edward K.
Le Goues, Claire
Devanbu, Premkumar
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  surname: Holtschulte
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  email: neal.holts@cs.unm.edu
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  givenname: Edward K.
  surname: Smith
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  email: tedks@cs.umass.edu
  organization: Coll. of Inf. & Comput. Sci., Univ. of Massachusetts at Amherst, Amherst, MA, USA
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  givenname: Yuriy
  surname: Brun
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  email: brun@cs.umass.edu
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  givenname: Westley
  surname: Weimer
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  email: weimer@cs.virginia.edu
  organization: Dept. of Comput. Sci., Univ. of Virginia, Charlottesville, VA, USA
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Issue 12
Keywords IntroClass
Automated program repair
ManyBugs
reproducibility
benchmark
subject defect
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Snippet The field of automated software repair lacks a set of common benchmark problems. Although benchmark sets are used widely throughout computer science, existing...
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Algorithms
Automated program repair
Automation
benchmark
Benchmark testing
Benchmarks
C (programming language)
C language
Categories
Computer bugs
Computer programs
Computer science
Datasets
Debugging
Defects
Electronic mail
Maintenance engineering
Repair
Reproducibility
Software
Software systems
Studies
subject defect
Title The ManyBugs and IntroClass Benchmarks for Automated Repair of C Programs
URI https://ieeexplore.ieee.org/document/7153570
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https://www.proquest.com/docview/1786210228
Volume 41
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