'fuzzyProjectManager' — FRAMEWORK FOR SOFTWARE PROJECT MANAGEMENT USING FUZZY LOGIC
Imran Siwani () and
Miriam Capretz ()
Additional contact information
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
References: View complete reference list from CitEc
Citations:
Downloads: (external link)
http://www.worldscientific.com/doi/abs/10.1142/S0219877004000301
Access to full text is restricted to subscribers
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:wsi:ijitmx:v:01:y:2004:i:04:n:s0219877004000301
Ordering information: This journal article can be ordered from
DOI: 10.1142/S0219877004000301
Access Statistics for this article
International Journal of Innovation and Technology Management (IJITM) is currently edited by H K Tang
More articles in International Journal of Innovation and Technology Management (IJITM) from World Scientific Publishing Co. Pte. Ltd.
Bibliographic data for series maintained by Tai Tone Lim ().