Current challenges in automatic software repair
Created by W.Langdon from
gp-bibliography.bib Revision:1.8081
- @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