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Operations Research, Systems Engineering and Industrial Engineering Commons

Open Access. Powered by Scholars. Published by Universities.®

2007

Business

Quality

Articles 1 - 2 of 2

Full-Text Articles in Operations Research, Systems Engineering and Industrial Engineering

An Application Of The Deming Management Method For Information Technology Projects, Jack T. Marchewka Jan 2007

An Application Of The Deming Management Method For Information Technology Projects, Jack T. Marchewka

Journal of International Technology and Information Management

Although the ideas and teachings of W. Edwards Deming have been implemented in organizations world- wide for over the past 50 years, only three studies have empirically tested a theoretical model grounded in the Deming Management Method. These studies focused on the manufacturing and services area. Today, quality management continues to be an area of interest both in project management and software engineering. The focus of this study is to test the Deming Management Method in information technology (IT) projects. A survey of 63 IT professionals provides empirical support for the Deming Management Method and its application to IT projects. …


Discovering Software Reliability Patterns Based On Multiple Software Projects, Yi Liu, Gerald Adkins, Jeng-Foung Yao, Gita Williams Jan 2007

Discovering Software Reliability Patterns Based On Multiple Software Projects, Yi Liu, Gerald Adkins, Jeng-Foung Yao, Gita Williams

Journal of International Technology and Information Management

Discovering patterns that indicate software reliability provides valuable information to software project managers. Software Quality Classification (SQC) modeling is a methodology that can be used to discover reliability patterns of large software projects. However, the patterns found by SQC modeling may not be accurate and robust owing to insufficient information used in the training process. This study compares two genetic programming-based SQC models using different volumes of data. These data were extracted from seven different NASA software projects. The results demonstrate that combining data from different projects can produce more accurate and reliable patterns.