A systematic mapping study on dynamic metrics and software quality

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aut.conference.typePaper Published in Proceedings
aut.relation.endpage335
aut.relation.startpage326
aut.researcherMacDonell, Stephen Gerard
dc.contributor.authorTahir, A
dc.contributor.authorMacDonell, SG
dc.date.accessioned2013-03-12T02:04:32Z
dc.date.accessioned2013-03-12T02:05:05Z
dc.date.accessioned2013-03-12T02:06:50Z
dc.date.available2013-03-12T02:04:32Z
dc.date.available2013-03-12T02:05:05Z
dc.date.available2013-03-12T02:06:50Z
dc.date.copyright2012
dc.date.issued2012
dc.description.abstractSeveral important aspects of software product quality can be evaluated using dynamic metrics that effectively capture and reflect the software's true runtime behavior. While the extent of research in this field is still relatively limited, particularly when compared to research on static metrics, the field is growing, given the inherent advantages of dynamic metrics. The aim of this work is to systematically investigate the body of research on dynamic software metrics to identify issues associated with their selection, design and implementation. Mapping studies are being increasingly used in software engineering to characterize an emerging body of research and to identify gaps in the field under investigation. In this study we identified and evaluated 60 works based on a set of defined selection criteria. These studies were further classified and analyzed to identify their relativity to future dynamic metrics research. The classification was based on three different facets: research focus, research type and contribution type. We found a strong body of research related to dynamic coupling and cohesion metrics, with most works also addressing the abstract notion of software complexity. Specific opportunities for future work relate to a much broader range of quality dimensions.
dc.identifier.citationIn Proceedings of the 28th IEEE International Conference on Software Maintenance (ICSM, 2012), Riva del Garda, Italy. IEEE Computer Society Press, pp. 326 - 335.
dc.identifier.doi10.1109/ICSM.2012.6405289
dc.identifier.isbn978-1-4673-2313-0
dc.identifier.urihttps://hdl.handle.net/10292/5218
dc.publisherIEEE Computer Society
dc.relation.replaceshttp://hdl.handle.net/10292/5216
dc.relation.replaces10292/5216
dc.relation.replaceshttp://hdl.handle.net/10292/5217
dc.relation.replaces10292/5217
dc.relation.urihttp://doi.ieeecomputersociety.org/10.1109/ICSM.2012.6405289
dc.rightsCopyright © 2012 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
dc.rights.accessrightsOpenAccess
dc.subjectSoftware
dc.subjectSoftware metrics
dc.subjectConferences
dc.subjectPerformance analysis
dc.subjectManuals
dc.subjectSoftware quality
dc.subjectDynamic metrics
dc.subjectSoftware metrics
dc.subjectDynamic analysis
dc.subjectMapping study
dc.titleA systematic mapping study on dynamic metrics and software quality
dc.typeConference Contribution
pubs.elements-id134969
pubs.organisational-data/AUT
pubs.organisational-data/AUT/Design & Creative Technologies
pubs.organisational-data/AUT/Design & Creative Technologies/School of Computing & Mathematical Science
pubs.organisational-data/AUT/PBRF Researchers
pubs.organisational-data/AUT/PBRF Researchers/Design & Creative Technologies PBRF Researchers
pubs.organisational-data/AUT/PBRF Researchers/Design & Creative Technologies PBRF Researchers/DCT C & M Computing
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