期刊名称：International Journal of Multimedia and Ubiquitous Engineering
印刷版ISSN：1975-0080
出版年度：2015
卷号：10
期号：9
页码：1-8
DOI：10.14257/ijmue.2015.10.9.01
出版社：SERSC
摘要：Software Project Management (SPM) is one of the primary factors to software success or failure. Prediction of software development time is the key task for the effective SPM. The accuracy and reliability of prediction mechanisms is also important. In this paper, we compare different machine learning techniques in order to accurately predict the software time. Finally, by comparing the accuracy of different techniques, it has been concluded that Gaussian process algorithm has highest prediction accuracy among other techniques studied. Experimental results show this prediction approach is more effective.
关键词：Software time prediction; Software Project Management; Machine ; Learning Algorithm
