Development of a decision system to aid project managers in determining information technology project status

Authors:
Anthony P. Barnes;Robert J. Hammell
Affiliations:
Computer and Information Sciences Department, Towson University, Towson, MD;Computer and Information Sciences Department, Towson University, Towson, MD
Venue:
SMC'09 Proceedings of the 2009 IEEE international conference on Systems, Man and Cybernetics
Year:
2009

Citing 6
Cited 0

Fuzzy logic: a practical approach

Fuzzy logic: a practical approach
Decision Making under Uncertainty: An Artificial Intelligence Approach

Decision Making under Uncertainty: An Artificial Intelligence Approach
Introduction: DSS: Directions for the next decade

Decision Support Systems - Special issue: Decision support systems: Directions for the next decade
Past, present, and future of decision support technology

Decision Support Systems - Special issue: Decision support systems: Directions for the next decade
Project Management: A Systems Approach to Planning, Scheduling, and Controlling

Project Management: A Systems Approach to Planning, Scheduling, and Controlling
R-CAST: integrating team intelligence for human-centered teamwork

AAAI'07 Proceedings of the 22nd national conference on Artificial intelligence - Volume 2

Quantified Score

Hi-index	0.00

Visualization

Abstract

In the project management environment, it is critical to know how the project is performing from the viewpoint of scope, schedule, cost, and other constraints. One source reports that 70% of IT-related projects do not meet their objective [1]. This paper builds on prior efforts to develop a collaborative agent decision system that aids in recommending the status of a project using color indicators (Red, Yellow, Green) that are based on the progress and standing of the project-related constraints. Progressions in the research, such as knowledge acquisition activities conducted with subject matter experts (SME) to acquire project management domain knowledge, and efforts to incorporate fuzzy logic into the decision system, are discussed.