STATISTICAL ANALYSIS OF PROCESS MONITORING DATA FOR PRODUCT QUALITY IMPROVEMENT AND ITS APPLICATION TO SOFTWARE RELIABILITY ASSESSMENT

摘要：

Software product quality is realized in the development process. In order to improve software product quality, a project management which controls/manages the development process and predicts the progress of the software project is very important. In this paper, firstly, we conduct multivariate linear analyses by using process monitoring data, derive effective process factors affecting the final products quality, and discuss the significant process factors with respect to software management measures of QCD. Then, we discuss project management on the significant process factors affecting the QCD measures, and show their effect on them. Secondly, we analyze process monitoring data in a viewpoint of software reliability measurement and assessment. Also, we discuss the actual application of the methods of software reliability measurement and assessment in the process monitoring activities.

关键词： process monitoring software process improvement multivariate linear analysis software quality/reliability assessment process monitoring progress ratio software reliability growth model

作者: Atsushi Fukutaa Shigeru Yamadab Akihiro Kawaharac

作者单位: Design & Engineering Dept.Technical Division, Nishikawa Rubber Co.,Ltd.2-2-8,Misasa-cho,Hiroshima-sh Department of Social Management Engineering, Graduate School of Engineering, Tottori University, 4-1

会议类型: 国际会议

会议名称: The Tneth International Conference on Industrial Management(第十届工业管理国际会议 ICIM 2010)

会议地点: 北京

会议语种:英文

页码: 459-464

在线出版日期: 2010-09-16（万方平台首次上网日期，不代表论文的发表时间）