Show simple item record

dc.contributor.authorBlack, S.
dc.contributor.authorCounsell, S.
dc.contributor.authorHall, T.
dc.contributor.authorBowes, D.
dc.date.accessioned2012-08-15T09:01:14Z
dc.date.available2012-08-15T09:01:14Z
dc.date.issued2009
dc.identifier.citationBlack , S , Counsell , S , Hall , T & Bowes , D 2009 , Fault Analysis in OSS Based on Program Slicing Metrics . in 35th Euromicro Conf on Software Engineering and Advanced Applications . Institute of Electrical and Electronics Engineers (IEEE) , pp. 3-10 . https://doi.org/10.1109/SEAA.2009.94
dc.identifier.otherdspace: 2299/4356
dc.identifier.urihttp://hdl.handle.net/2299/8831
dc.description“This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder." “Copyright IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.” DOI: 10.1109/SEAA.2009.94
dc.description.abstractIn this paper, we investigate the barcode OSS using two of Weiser's original slice-based metrics (tightness and overlap) as a basis, complemented with fault data extracted from multiple versions of the same system. We compared the values of the metrics in functions with at least one reported fault with fault-free modules to determine a) whether significant differences in the two metrics would be observed and b) whether those metrics might allow prediction of faulty functions. Results revealed some interesting traits of the tightness metric and, in particular, how low values of that metric seemed to indicate fault-prone functions. A significant difference was found between the tightness metric values for faulty functions when compared to fault-free functions suggesting that tightness is the `better' of the two metrics in this sense. The overlap metric seemed less sensitive to differences between the two types of function.en
dc.format.extent172366
dc.language.isoeng
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.relation.ispartof35th Euromicro Conf on Software Engineering and Advanced Applications
dc.titleFault Analysis in OSS Based on Program Slicing Metricsen
dc.contributor.institutionSchool of Computer Science
dc.contributor.institutionScience & Technology Research Institute
rioxxterms.versionofrecord10.1109/SEAA.2009.94
rioxxterms.typeOther
herts.preservation.rarelyaccessedtrue


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record