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Software Quality Journal
Erschienen in: Software Quality Journal 3/2013

01.09.2013

Current challenges in automatic software repair

verfasst von: Claire Le Goues, Stephanie Forrest, Westley Weimer

Erschienen in: Software Quality Journal | Ausgabe 3/2013

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Abstract

The abundance of defects in existing software systems is unsustainable. Addressing them is a dominant cost of software maintenance, which in turn dominates the life cycle cost of a system. Recent research has made significant progress on the problem of automatic program repair, using techniques such as evolutionary computation, instrumentation and run-time monitoring, and sound synthesis with respect to a specification. This article serves three purposes. First, we review current work on evolutionary computation approaches, focusing on GenProg, which uses genetic programming to evolve a patch to a particular bug. We summarize algorithmic improvements and recent experimental results. Second, we review related work in the rapidly growing subfield of automatic program repair. Finally, we outline important open research challenges that we believe should guide future research in the area.
Vorheriger Artikel Foreword to the invited impact paper on automatic software repair
Nächster Artikel Test case prioritization: a systematic mapping study

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Fußnoten
1
GenProg can also effect repairs in assembly code, binary files, and (recently) the LLVM intermediate representation.
 
2
In practice, we use several test cases to express program requirements. We describe only one here for brevity.
 
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Metadaten
Titel
Current challenges in automatic software repair
verfasst von
Claire Le Goues
Stephanie Forrest
Westley Weimer
Publikationsdatum
01.09.2013
Verlag
Springer US
Erschienen in
Software Quality Journal / Ausgabe 3/2013
Print ISSN: 0963-9314
Elektronische ISSN: 1573-1367
DOI
https://doi.org/10.1007/s11219-013-9208-0

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