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dc.contributor.authorBowes, D.
dc.contributor.authorHall, Tracy
dc.contributor.authorKerr, A.
dc.date.accessioned2012-01-03T16:01:13Z
dc.date.available2012-01-03T16:01:13Z
dc.date.issued2011
dc.identifier.citationBowes , D , Hall , T & Kerr , A 2011 , Program slicing-based cohesion measurement: the challenges of replicating studies using metrics . in Procs of the 2nd Int Workshop on Emerging Trends in Software Metrics : WETSoM'11 . ACM Press , pp. 75-80 . https://doi.org/10.1145/1985374.1985392
dc.identifier.isbn978-1-4503-0593-8
dc.identifier.otherPURE: 443944
dc.identifier.otherPURE UUID: 3d38fa5b-d30c-4e60-b7bc-4710949a8cfd
dc.identifier.otherBibtex: urn:b22c53c1eb44687cd2bf965ac00603b9
dc.identifier.otherScopus: 79959841330
dc.identifier.urihttp://hdl.handle.net/2299/7575
dc.description.abstractIt is important to develop corpuses of data to test out the efficacy of using metrics. Replicated studies are an important contribution to corpuses of metrics data. There are few replicated studies using metrics reported in software engineering. To contribute more data to the body of evidence on the use of novel program slicing-based cohesion metrics. We replicate a very well regarded study by Meyers and Binkley [15, 16] which analyses the cohesion of open source projects using program slicing-based metrics. Our results are very different from Meyers and Binkley's original results. This suggests that there are a variety of opportunities for inconsistently to creep into the collection and analysis of metrics data during replicated studies. We conclude that researchers using metrics data must present their work with sufficient detail for replication to be possible. Without this detail it is difficult for subsequent researchers to accurately replicate a study such that consistent and reliable data can be added to a body of evidence.en
dc.format.extent6
dc.language.isoeng
dc.publisherACM Press
dc.relation.ispartofProcs of the 2nd Int Workshop on Emerging Trends in Software Metrics
dc.titleProgram slicing-based cohesion measurement: the challenges of replicating studies using metricsen
dc.contributor.institutionSchool of Computer Science
dc.contributor.institutionScience & Technology Research Institute
dc.identifier.urlhttp://www.scopus.com/inward/record.url?scp=79959841330&partnerID=8YFLogxK
rioxxterms.versionVoR
rioxxterms.versionofrecordhttps://doi.org/10.1145/1985374.1985392
rioxxterms.typeOther
herts.preservation.rarelyaccessedtrue


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