Software cost and quality analysis by statistical approaches
Yooichi Yokoyama, M. Kodaira · International Conference on Software Engineering · 1998
This paper describes statistical approaches for analyzing software cost and quality data of Software Development Center of Hitachi (SDCH) for several recent years. We have achieved some highly fitted cost and quality models with r=0.837 to 0.975 multiple correlation. The models may be used for cost and duality estimation and also productivity and quality evaluation.