Evolutionary Sampling and Software Quality Modeling of High-Assurance Systems

Software quality modeling for high-assurance systems, such as safety-critical systems, is adversely affected by the skewed distribution of fault-prone program modules. This sparsity of defect occurrence within the software system impedes training and performance of software quality estimation models...

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Veröffentlicht in:	IEEE transactions on systems, man and cybernetics. Part A, Systems and humans Jg. 39; H. 5; S. 1097 - 1107
Hauptverfasser:	Drown, D.J., Khoshgoftaar, T.M., Seliya, N.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	IEEE 01.09.2009
Schlagworte:	Clustering algorithms Computer programs Construction Data mining Data sampling Evolutionary evolutionary computing Genetics high-assurance system imbalanced data Impedance Machine learning Machine learning algorithms Mathematical models Oversampling Sampling Sampling methods Software Software algorithms software metrics Software quality Software systems
ISSN:	1083-4427, 1558-2426
Online-Zugang:	Volltext
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