Combination forecasting on software reliability based on entropy weight
Zhang Qun-yan, Zhu Xiaomei, Xu Kun · 2011
Software reliability is a hot issue of software engineering research. In order to improve the prediction accuracy of software reliability's failure data, the researchers introduced the entropy weight to build the combination forecast model on the basis of establishing single forecasting methods. Data simulation results indicate that this method has higher precision of prediction than that of the single forecasting methods, and thus is applicable in certain fields.