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Article: Toward a k-means clustering approach to adaptive random testing for object-oriented software

TitleToward a k-means clustering approach to adaptive random testing for object-oriented software
Authors
Issue Date2019
PublisherScience China Press, co-published with Springer Berlin Heidelberg. The Journal's web site is located at http://info.scichina.com/
Citation
Science China Information Sciences, 2019, v. 62 n. 11, article no. 219105 How to Cite?
Persistent Identifierhttp://hdl.handle.net/10722/286497
ISSN
2019 Impact Factor: 3.304
2015 SCImago Journal Rankings: 0.427
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorChen, J-
dc.contributor.authorZhou, M-
dc.contributor.authorTse, TH-
dc.contributor.authorChen, TY-
dc.contributor.authorGuo, Y-
dc.contributor.authorHuang, R-
dc.contributor.authorMao, C-
dc.date.accessioned2020-08-31T07:04:42Z-
dc.date.available2020-08-31T07:04:42Z-
dc.date.issued2019-
dc.identifier.citationScience China Information Sciences, 2019, v. 62 n. 11, article no. 219105-
dc.identifier.issn1674-733X-
dc.identifier.urihttp://hdl.handle.net/10722/286497-
dc.languageeng-
dc.publisherScience China Press, co-published with Springer Berlin Heidelberg. The Journal's web site is located at http://info.scichina.com/-
dc.relation.ispartofScience China Information Sciences-
dc.rightsThis is a post-peer-review, pre-copyedit version of an article published in Science China Information Sciences. The original publication is available at www.scichina.com [https://engine.scichina.com/doi/10.1007/s11432-018-9827-9] and www.springerlink.com [https://doi.org/10.1007/s11432-018-9827-9]-
dc.titleToward a k-means clustering approach to adaptive random testing for object-oriented software-
dc.typeArticle-
dc.identifier.emailTse, TH: thtse@cs.hku.hk-
dc.identifier.authorityTse, TH=rp00546-
dc.description.naturepostprint-
dc.identifier.doi10.1007/s11432-018-9827-9-
dc.identifier.scopuseid_2-s2.0-85073262072-
dc.identifier.hkuros313726-
dc.identifier.volume62-
dc.identifier.issue11-
dc.identifier.spagearticle no. 219105-
dc.identifier.epagearticle no. 219105-
dc.identifier.isiWOS:000503758900001-
dc.publisher.placeChina-

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