Early-stage Product Quality Prediction and Project Evaluation Based on Software Process Data

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概要

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• To predict a project's quality, cost, and delivery (QCD) in the early stages of software development, we have been implementing risk management, earned value management (EVM), and quality assurance activities. This paper discusses a multiple linear regression analysis using these process measurement data and derives a relational expression which predicts the quality of software products quantitatively. From this analysis, we examine the effects on a software product's quality for these management and quality assurance factors. Based on our results, we have a clear correlation among these activities and software product quality. The prediction of product quality using process measurement data is shown to be a very effective way to clarify the process factors that affect product quality and to promote the improvement of process factors. Based on the process data for effective management factors, we also derive a discriminant expression to judge whether or not the software project has a quality process.

• 社団法人日本経営工学会の論文
• 2010-02-15

著者

• FUKUSHIMA TOSHIHIKO

  Department of Surgery II, Fukushima Medical University

• FUKUTA Atsushi

  Department of Applied Chemistry, Faculty of Engineering, Toyama University

• Yamada Shigeru

  School Of Engineering Tottori University

• Fukuta Atsushi

  Department Of Social Management Engineering Graduate School Of Engineering Tottori University

• Fukushima Toshihiko

  Department Of Quality Management Nisshin Systems Co. Ltd.

• FUKUSHIMA Toshihiko

  Department of Breast, Endocrine and Thyroid Surgery, Fukushima Medical University

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