Software Defect Prediction using Bayesian Networks and Kernel Methods - Softcover

Okutan, Ahmet

 
9783639703467: Software Defect Prediction using Bayesian Networks and Kernel Methods
Softcover
ISBN 10: 3639703464 ISBN 13: 9783639703467
Verlag: VDM Verlag, 2015

Inhaltsangabe

There are lots of different software metrics discovered and used for defect prediction in the literature. Instead of dealing with so many metrics, it would be practical and easy if we could determine the set of metrics that are most important and focus on them more to predict defectiveness. In this book, we use Bayesian modeling to determine the influential relationships among software metrics and defect proneness. Furthermore, we propose a novel technique for defect prediction that uses plagiarism detection tools. We use kernel programming to model the relationship between source code similarity and defectiveness and suggest that source code similarity is a good means of predicting both defectiveness and the number of defects in software systems.

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Über die Autorin bzw. den Autor

Ahmet Okutan was born on 20 June 1976, in Çaykara, Trabzon. He received his BS degree from BOGAZICI University Computer Engineering in 1998.He is an entrepreneur and has professional experience regarding software project management, system analysis and design in more than 50 software projects.

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Verlag
VDM Verlag
Erscheinungsdatum
2015
Sprache
Englisch
ISBN 10 
3639703464
ISBN 13 
9783639703467
Einband
Taschenbuch
Anzahl der Seiten
168
Kontakt zum Hersteller
Nicht verfügbar
Verantwortliche Person
Presses Academiques Francophones
customerservice@vdm-vsg.de

Brivibas gatve 197
Riga
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