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STATISTICAL ANALYSIS OF PROCESS MONITORING DATA FOR SOFTWARE PROCESS IMPROVEMENT

Department of Social Management Engineeing, Graduate School of Engineering, Tottori University, 4-101 Minami, Koyama-cho, Tottori-shi, Tottori 680-8552, Japan

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AKIHIRO KAWAHARA

Department of Social Management Engineeing, Graduate School of Engineering, Tottori University, 4-101 Minami, Koyama-cho, Tottori-shi, Tottori 680-8552, Japan

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https://doi.org/10.1142/S0218539309003484Cited by:3 (Source: Crossref)

Abstract

In recent years, software development has become more large-scaled, complicated, and diversified. At the same time, customer requirement of high quality and shortened delivery has increased. Therefore, we have to manage process quality and control product quality in the early-stage of software development in order to produce highly quality software products during the limited period. In this paper, we conduct multivariate linear analyses by using process monitoring data, derive effective process factors affecting the final product quality, and discuss the significant process factors with respect to software management measures of quality, cost, and delivery (QCD). Then, we discuss project management on the significant process factors affecting QCD and show its effect on QCD.

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