TY - GEN
T1 - Novel applications of machine learning in software testing
AU - Briand, Lionel C.
PY - 2008
Y1 - 2008
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=52449134192&partnerID=8YFLogxK
U2 - 10.1109/QSIC.2008.29
DO - 10.1109/QSIC.2008.29
M3 - Conference contribution
AN - SCOPUS:52449134192
SN - 9780769533124
T3 - Proceedings - International Conference on Quality Software
SP - 3
EP - 10
BT - Proceedings - 8th International Conference on Quality Software, QSIC 2008
T2 - 8th International Conference on Quality Software, QSIC 2008
Y2 - 12 August 2008 through 13 August 2008
ER -