DocumentCode :
2608755
Title :
Novel Applications of Machine Learning in Software Testing
Author :
Briand, Lionel C.
Author_Institution :
Simula Res. Lab., Univ. of Oslo, Oslo
fYear :
2008
fDate :
12-13 Aug. 2008
Firstpage :
3
Lastpage :
10
Abstract :
Machine learning techniques have long been used for various purposes in software engineering. This paper provides a brief overview of the state of the art and reports on a number of novel applications I was involved with in the area of software testing. Reflecting on this personal experience, I draw lessons learned and argue that more research should be performed in that direction as machine learning has the potential to significantly help in addressing some of the long-standing software testing problems.
Keywords :
learning (artificial intelligence); program testing; machine learning; software engineering; software testing; Application software; Automatic testing; Data mining; Decision making; Laboratories; Machine learning; Machine learning algorithms; Software engineering; Software quality; Software testing; Machine learning; software testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Quality Software, 2008. QSIC '08. The Eighth International Conference on
Conference_Location :
Oxford
ISSN :
1550-6002
Print_ISBN :
978-0-7695-3312-4
Type :
conf
DOI :
10.1109/QSIC.2008.29
Filename :
4601522
Link To Document :
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