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
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;
Conference_Titel :
Electrical and Computer Engineering, 2004. Canadian Conference on
Print_ISBN :
0-7803-8253-6
DOI :
10.1109/CCECE.2004.1347582