International Society of Science and Applied Technologies |
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Statistical Quality Prediction Based on Project Data with Software Metrics and Process Review | ||||
Author | Tsukasa Kametani
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Co-Author(s) | Shigeru Yamada
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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.
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Keywords | Multiple Regression Analysis, Logistic Regression Analysis, Software Metrics, Project Data, Quality-Oriented Software Management | |||
Article #: 20114 |
August 7-9, 2014 - Seattle, Washington, U.S.A. |