?url_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rft.title=Learning+Combinatorial+Interaction+Test+Generation+Strategies+Using+Hyperheuristic+Search&rft.creator=Jia%2C+Y&rft.creator=Cohen%2C+MB&rft.creator=Harman%2C+M&rft.creator=Petke%2C+J&rft.description=The+surge+of+search+based+software+engineering+research+has+been+hampered+by+the+need+to+develop+customized+search+algorithms+for+different+classes+of+the+same+problem.+For+instance%2C+two+decades+of+bespoke+Combinatorial+Interaction+Testing+(CIT)+algorithm+development%2C+our+exemplar+problem%2C+has+left+software+engineers+with+a+bewildering+choice+of+CIT+techniques%2C+each+specialized+for+a+particular+task.+This+paper+proposes+the+use+of+a+single+hyperheuristic+algorithm+that+learns+search+strategies+across+a+broad+range+of+problem+instances%2C+providing+a+single+generalist+approach.+We+have+developed+a+Hyperheuristic+algorithm+for+CIT%2C+and+report+experiments+that+show+that+our+algorithm+competes+with+known+best+solutions+across+constrained+and+unconstrained+problems%3A+For+all+26+real-world+subjects%2C+it+equals+or+outperforms+the+best+result+previously+reported+in+the+literature.+We+also+present+evidence+that+our+algorithm's+strong+generic+performance+results+from+its+unsupervised+learning.+Hyperheuristic+search+is+thus+a+promising+way+to+relocate+CIT+design+intelligence+from+human+to+machine.&rft.subject=Science+%26+technology%2C+technology%2C+computer+science%2C+software+engineering%2C+engineering%2C+electrical+%26+electronic%2C+computer+science%2C+engineering%2C+interaction+test+suites%2C+heuristics%2C+system%2C+State.&rft.publisher=IEEE&rft.contributor=Bertolino%2C+A&rft.contributor=Elbaum%2C+S&rft.contributor=Canfora%2C+G&rft.date=2015-05-24&rft.type=Proceedings+paper&rft.publisher=2015+IEEE+ACM+37th+IEEE+International+Conference+on+Software+Engineering&rft.language=eng&rft.source=+++++In%3A+Bertolino%2C+A+and+Elbaum%2C+S+and+Canfora%2C+G%2C+(eds.)+Proceedings+of+2015+IEEE%2FACM+37th+IEEE+International+Conference+on+Software+Engineering.++(pp.+pp.+540-550).++IEEE%3A+Florence%2C+Italy.+(2015)+++++&rft.format=text&rft.identifier=https%3A%2F%2Fdiscovery.ucl.ac.uk%2Fid%2Feprint%2F1490740%2F1%2FJia_Learning_Combinatorial_2015_ICSE.pdf&rft.identifier=https%3A%2F%2Fdiscovery.ucl.ac.uk%2Fid%2Feprint%2F1490740%2F&rft.rights=open