NDLI: Software Development Effort Estimation Using Fuzzy Logic

Content Provider	IEEE Xplore Digital Library
Author	Nisar, M.W. Nisar, M.W. Nisar, M.W. Yong-Ji Wang Elahi, M.
Copyright Year	2008
Description	Author affiliation: COMSATS Inst. of Inf. Technol., Wah (Nisar, M.W.; Yong-Ji Wang; Elahi, M.) \|\| Lab. for Internet Software Technol., Grad. Univ., Beijing (Nisar, M.W.; Nisar, M.W.)
Abstract	Most of the software estimates should be performed at the beginning of the life cycle, when we do not yet know the problem we are going to solve. Effort estimation is used to predict how many hours of work and how many workers are needed to develop a project. The effort invested in a software project is probably one of the most important and most analyzed variables in recent years in the process of project management. Estimating the effort with a high grade of reliability is a problem which has not yet been solved and even the project manager has to deal with it since the beginning. Fuzzy systems try to emulate cognitive processes of the brain with a rule base. The basic concept is inspired by the human processes where the decisional criteria are not clear cut, but blurred and it is difficult to find objective to make the decisions more precise and clear. Fuzzy decision systems are based on fuzzy logic that tries to reproduce the fuzzy human reasoning. The aim of this survey is to analyze the use of fuzzy logic in the existing models and to provide in depth review of software and project estimation techniques existing in industry and literature, its strengths and weaknesses.
Starting Page	421
Ending Page	427
File Size	169002
Page Count	7
File Format	PDF
ISBN	9780769533056
DOI	10.1109/FSKD.2008.370
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-10-18
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Costs Laboratories Project management Humans Software performance Programming Fuzzy Logic. Fuzzy logic Analytical models Software Engineering Life estimation effort estimation Fuzzy systems cost models
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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