DocumentCode
1653980
Title
Application of fuzzy logic for improved software project management estimations
Author
Siwani, Imran ; Capretz, Miriam
Author_Institution
Dept. of Electr. & Comput. Eng., Univ. of Western Ontario, London, Ont., Canada
Volume
4
fYear
2004
Firstpage
1897
Abstract
Project management (PM) 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. Fuzzy logic is a soft-computing technique used to effectively solve uncertainties due to imprecise inputs to generate linguistic or quantitative outputs. This paper investigates the application of fuzzy logic as a feasible technique for improved estimation accuracy to all the tasks within the project management knowledge areas to ensure higher software project success rates.
Keywords
fuzzy logic; parameter estimation; project management; software management; uncertainty handling; estimation accuracy; fuzzy logic; parameter estimation; soft computing; software project management; success rates; uncertainties; ANSI standards; Application software; Availability; Cost function; Delay estimation; Fuzzy logic; Parameter estimation; Project management; Resource management; Uncertainty;
fLanguage
English
Publisher
ieee
Conference_Titel
Electrical and Computer Engineering, 2004. Canadian Conference on
ISSN
0840-7789
Print_ISBN
0-7803-8253-6
Type
conf
DOI
10.1109/CCECE.2004.1347582
Filename
1347582
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