Statistical Quality Prediction Based on Project Data with Software Metrics and Process Review  
Author Tsukasa Kametani

 
Co-Author(s) Shigeru Yamada

 
Abstract Project management for developing software requires rigorous process reviews. Process reviews at upstream process improve the quality of software products continuously; in other words, a quality-oriented software management that is managed thoroughly enables us to produce high quality software. This paper clarifies the process factors which affect the quality of software product with multivariate analysis for the actual software development process. In addition, the statistical quality prediction for improving the software development process is discussed.

 
Keywords Multiple Regression Analysis, Logistic Regression Analysis, Software Metrics, Project Data, Quality-Oriented Software Management
   
    Article #:  20114
 
Proceedings of the 20th ISSAT International Conference on Reliability and Quality in Design
August 7-9, 2014 - Seattle, Washington, U.S.A.