Software Defect Prediction Based on Stacked Contractive Autoencoder and Multi-objective Optimization

Software defect prediction plays an important role in software quality assurance. However, the performance of the prediction model is susceptible to the irrelevant and redundant features. In addition, previous studies mostly regard software defect prediction as a single objective optimization proble...

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Veröffentlicht in:	Computers, materials & continua Jg. 65; H. 1; S. 279 - 308
Hauptverfasser:	Zhang, Nana, Zhu, Kun, Ying, Shi, Wang, Xu
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Henderson Tech Science Press 01.01.2020
Schlagworte:	Algorithms Artificial neural networks Defects Feature extraction Machine learning Multiple objective analysis Neural networks Open source software Pareto optimization Prediction models Quality assurance Software
ISSN:	1546-2226, 1546-2218, 1546-2226
Online-Zugang:	Volltext
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