Statistical Software Project Assessment Based on Control Chart and Multivariate Analysis  
Author Shigeru Yamada


Co-Author(s) Isami Nakashima; Makoto Shiomi


Abstract There are many risks in software development projects, which disturb the achievement of QCD(Quality, Cost, and Delivery) target. In order to make a software project successful, it is important to execute appropriate project management and quality management, and continuously improve the software process. In this paper, constituting control chart with process monitoring data collected in the real software projects, we disscuss the method of assessing the software projects statistically. Further, we clarify the process factors which affect the quality of software process product based on multivariate analysis.


Keywords Quality-Oriented Software Management, Process Monitoring, Design Quality, Assessment Principal Component Analysis, Multiple Regression Analysis, Structural Equation Modeling, Control Chart
    Article #:  20109
Proceedings of the 20th ISSAT International Conference on Reliability and Quality in Design
August 7-9, 2014 - Seattle, Washington, U.S.A.