Statistical Prediction Modeling for Software Development Process Performance

摘要：

With the advent of the information age and more intense competitions among IT companies, it is more important to assess the quality of software development processes and products by not only measuring outcomes but also predicting outcomes. On the basis of analysis and experiments about software development processes and products, a study of the process performance modeling has been conducted with statistical analyzing past and current process performance data. In this paper, we present a statistical prediction modeling for Software Development Process Performance. For predicting delivered defects effectively, a simple case study is illustrated, and several suggestions on planning and controlling management brought from this model are analyzed in detail. At the end, the conclusions with a discussion of future research consideration are pointed out in this paper.

关键词： process performance model (PPM) statisticalprediction modeling regression analysis correlation analysis

作者: Yan Hao Yu-feng Zhang

作者单位: Computer School of Wuhan UniversityWuhan UniversityWuhan, P. R. China Center for Studies of In formation Resources Wuhan University Wuhan, P. R. China

会议类型: 国际会议

会议名称: 2011 International Conference on System Modeling and Optimization(ICSMO 2011)(2011年系统建模与优化国际会议)

会议地点: 贵阳

会议语种:英文

页码: 138-141

在线出版日期: 2011-01-26（万方平台首次上网日期，不代表论文的发表时间）