期刊名称：International Journal of Soft Computing & Engineering
电子版ISSN：2231-2307
出版年度：2013
卷号：3
期号：3
页码：165-168
出版社：International Journal of Soft Computing & Engineering
摘要：This paper examined the application of Artificial neural network for software quality prediction using object- oriented metrics. Quality estimation include estimating maintainability of software. In this study maintenance effort was chosen as the dependent variable and principal components of object-oriented metrics as the dependent variables. We are prediction the number of lines per changed per class. Two neural network models are used, they are ward neural network and Hopfield neural network. The Artificial neural network prossesses the advantages of predicting software quality accurately and identifies the defects by efficient discovery mechanisms.
关键词：Software quality metrics; maintainability; object-;oriented; neural network; principal component analysis
