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A Bayesian Update to Software Quality Modeling

dc.contributor.authorHärtel, Johannes
dc.contributor.authorLämmel, Ralf
dc.date.accessioned2024-04-08T08:43:35Z
dc.date.available2024-04-08T08:43:35Z
dc.description.abstractSoftware reengineering profits from quantitative definitions of software quality. Such definitions are often given in terms of software quality models. We show a Bayesian reformulation of an established software quality model (logistic regression model for defects), in particular, of a software defect model. We evaluate correspondence of the results, and show an acceptable computation overhead of the Bayesian model. We argue on why the Bayesian version may be an improvement, discussing its definition and the representation of results. We focus on modeling the quality of defect proneness. Methodological insights can be transferred to other qualities.en
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/43839
dc.language.isoen
dc.subjectreengineering
dc.subjectsoftware quality
dc.subjectBayes
dc.subjectdefect model
dc.subjectlogistic regression
dc.subjectdefect proneness
dc.titleA Bayesian Update to Software Quality Modelingen
dc.typeText/Conference Paper
mci.conference.date02.-04. Mai 2022
mci.conference.locationBad Honnef
mci.conference.sessiontitle24. Workshop Software-Reengineering und -Evolution WSRE
mci.reference.pages59-60

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