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Software Quality Prediction Models Compared
Linnéuniversitetet, Fakultetsnämnden för naturvetenskap och teknik, Institutionen för datavetenskap, fysik och matematik, DFM. (Software Technology Group)
Linnéuniversitetet, Fakultetsnämnden för naturvetenskap och teknik, Institutionen för datavetenskap, fysik och matematik, DFM. (Software Technology Group)
Linnéuniversitetet, Fakultetsnämnden för naturvetenskap och teknik, Institutionen för datavetenskap, fysik och matematik, DFM. (Software Technology Group)ORCID-id: 0000-0002-7565-3714
2010 (engelsk)Inngår i: Software Quality Prediction Models Compared, 2010Konferansepaper, Publicerat paper (Fagfellevurdert)
Abstract [en]

Numerous empirical studies confirm that many software metrics aggregated in software quality prediction models are valid predictors for qualities of general interest like maintainability and correctness. Even these general quality models differ quite a bit, which raises the question: Do the differences matter? The goal of our study is to answer this question for a selection of quality models that have previously been published in empirical studies. We compare these quality models statistically by applying them to the same set of software systems, i.e., to altogether 328 versions of 11 open-source software systems. Finally, we draw conclusions from quality assessment using the different quality models, i.e., we calculate a quality trend and compare these conclusions statistically. We identify significant differences among the quality models. Hence, the selection of the quality model has influence on the quality assessment of software based on software metrics.

sted, utgiver, år, opplag, sider
2010.
HSV kategori
Forskningsprogram
Data- och informationsvetenskap, Datavetenskap
Identifikatorer
URN: urn:nbn:se:lnu:diva-6038OAI: oai:DiVA.org:lnu-6038DiVA, id: diva2:323469
Konferanse
The 10th International Conference on Quality Software
Tilgjengelig fra: 2010-06-10 Laget: 2010-06-10 Sist oppdatert: 2018-01-12bibliografisk kontrollert

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