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Operations Research, Systems Engineering and Industrial Engineering Commons™
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Full-Text Articles in Operations Research, Systems Engineering and Industrial Engineering
Project Management Practices In The Information Technology Departments Of Various Size Institutions Of Higher Education, Charles R. Johnston, David C. Wierschem
Project Management Practices In The Information Technology Departments Of Various Size Institutions Of Higher Education, Charles R. Johnston, David C. Wierschem
Journal of International Technology and Information Management
The demand for information technology at institutions of higher education is increasing at a rapid pace. It is fueled by student, faculty, and administrative needs. This paper examines project management practices at these institutions with respect to the sizes of the institutions. Survey results indicate an emphasis on operational concerns at small and medium size institutions when selecting IT projects. The prominence of the role of project manager and adoption of formal PM tools/techniques by IT departments generally increase with the sizes of the institutions. The importance of having a project plan is recognized by all sizes of institutions of …
Discovering Software Reliability Patterns Based On Multiple Software Projects, Yi Liu, Gerald Adkins, Jeng-Foung Yao, Gita Williams
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.