Software Defect Prediction using Adaptive Neural Networks
نویسندگان
چکیده
منابع مشابه
Software Defect Prediction using Adaptive Neural Networks
We present a system which gives prior idea about the defective module. The task is accomplished using Adaptive Resonance Neural Network (ARNN), a special case of unsupervised learning. A vigilance parameter (θ) in ARNN defines the stopping criterion and hence helps in manipulating the accuracy of the trained network. To demonstrate the usefulness of ARNN, we used dataset from promisedata.org. T...
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ژورنال
عنوان ژورنال: International Journal of Applied Information Systems
سال: 2012
ISSN: 2249-0868
DOI: 10.5120/ijais12-450612