How Good Is Genetic Programming at Predicting Changes and Defects?

One of the main problems practitioners have to deal with is the identification of change and defect proneness of source code entities (e.g., Classes). During the last years a lot of techniques have been employed for predicting change and defect proneness of classes. In this paper we study the capabi...

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Veröffentlicht in:	2014 16th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing S. 544 - 548
1. Verfasser:	Marinescu, Cristina
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 01.09.2014
Schlagworte:	changes Data mining defects empirical software engineering Genetic programming Java Measurement metrics Predictive models Software Software engineering software repositories source code
ISBN:	9781479984473, 1479984477
Online-Zugang:	Volltext
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