'fuzzyProjectManager' — FRAMEWORK FOR SOFTWARE PROJECT MANAGEMENT USING FUZZY LOGIC

Imran Siwani () and Miriam Capretz ()
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Imran Siwani: University of Western Ontario, Department of Electrical and Computer Engineering, London, Ontario, N6A 5B9, Canada
Miriam Capretz: University of Western Ontario, Department of Electrical and Computer Engineering, London, Ontario, N6A 5B9, Canada

International Journal of Innovation and Technology Management (IJITM), 2004, vol. 01, issue 04, 435-453

Abstract: Project Management is the application of knowledge, skills, tools and techniques to project activities in order to meet project requirements. The success of any project relies heavily on the initial estimation of all project parameters. The absence of reliable estimations leads to ineffective project planning, over- or under-commitment of resources and therefore an increased likelihood of a software project failure. Fuzzy Logic is a soft-computing technique used to effectively solve uncertainties due to imprecise inputs to generate linguistic or quantitative outputs. This paper presents a novel framework for project management incorporating fuzzy logic known as 'fuzzy ProjectManager'. Furthermore, this paper demonstrates the application of fuzzy logic as a feasible technique for improved estimation accuracy of all software project estimations to ensure higher software project success rates.

Keywords: Project Management; project management framework; fuzzy logic; estimations; project variables (search for similar items in EconPapers)
Date: 2004
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DOI: 10.1142/S0219877004000301

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