Current challenges in automatic software repair

Created by W.Langdon from gp-bibliography.bib Revision:1.8051

@Article{legouesWFSQJO2013,

• author = "Claire {Le Goues} and Stephanie Forrest and Westley Weimer",
• title = "Current challenges in automatic software repair",
• journal = "Software Quality Journal",
• year = "2013",
• volume = "21",
• issue = "3",
• pages = "421--443",
• month = sep,
• keywords = "genetic algorithms, genetic programming, genetic improvement, APR, SBSE, GenProg, automatic program repair, software engineering, evolutionary computation",
• ISSN = "0963-9314",
• publisher = "Springer",
• URL = "http://dx.doi.org/10.1007/s11219-013-9208-0",
• URL = "http://www.cs.cmu.edu/~clegoues/docs/legoues-sqjo13.pdf",
• URL = "http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.368.1034",
• DOI = "doi:10.1007/s11219-013-9208-0",
• language = "English",
• size = "23 pages",
• 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.",
• notes = "total 5139000 lines of code",

}

Genetic Programming entries for Claire Le Goues Stephanie Forrest Westley Weimer

Citations