Software Defect Prediction Using Radial Basis and Probabilistic Neural Networks
نویسندگان
چکیده
منابع مشابه
Software Defect Prediction Using Radial Basis and Probabilistic Neural Networks
Defects in modules of software systems is a major problem in software development. There are a variety of data mining techniques used to predict software defects such as regression, association rules, clustering, and classification. This paper is concerned with classification based software defect prediction. This paper investigates the effectiveness of using a radial basis function neural netw...
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ژورنال
عنوان ژورنال: International Journal of Computer Applications Technology and Research
سال: 2016
ISSN: 2319-8656
DOI: 10.7753/ijcatr0505.1006