A Bayesian Update to Software Quality Modeling

dc.contributor.author	Härtel, Johannes
dc.contributor.author	Lämmel, Ralf
dc.date.accessioned	2024-04-08T08:43:35Z
dc.date.available	2024-04-08T08:43:35Z
dc.description.abstract	Software 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.uri	https://dl.gi.de/handle/20.500.12116/43839
dc.language.iso	en
dc.subject	reengineering
dc.subject	software quality
dc.subject	Bayes
dc.subject	defect model
dc.subject	logistic regression
dc.subject	defect proneness
dc.title	A Bayesian Update to Software Quality Modeling	en
dc.type	Text/Conference Paper
mci.conference.date	02.-04. Mai 2022
mci.conference.location	Bad Honnef
mci.conference.sessiontitle	24. Workshop Software-Reengineering und -Evolution WSRE
mci.reference.pages	59-60

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