An Empirical Study of Model-Agnostic Techniques for Defect Prediction Models

Software analytics have empowered software organisations to support a wide range of improved decision-making and policy-making. However, such predictions made by software analytics to date have not been explained and justified. Specifically, current defect prediction models still fail to explain why...

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Veröffentlicht in:	IEEE transactions on software engineering Jg. 48; H. 1; S. 166 - 185
Hauptverfasser:	Jiarpakdee, Jirayus, Tantithamthavorn, Chakkrit Kla, Dam, Hoa Khanh, Grundy, John
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 01.01.2022 IEEE Computer Society
Schlagworte:	Algorithms Analytical models Decision analysis Decision making defect prediction models Electric breakdown Empirical analysis Explainable software analytics Lime model-agnostic techniques Open source software Optimization Prediction algorithms Prediction models Predictive models Quality control Software Software algorithms Software engineering software quality assurance
ISSN:	0098-5589, 1939-3520
Online-Zugang:	Volltext
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