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A Bayesian Update to Software Quality Modeling
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Zusammenfassung
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.