NDLI: Software development effort estimation using fuzzy logic: a case study

Content Provider	IEEE Xplore Digital Library
Author	Martin, C.L. Pasquier, J.L. Yanez, C.M. Tornes, A.G.
Copyright Year	2005
Description	Author affiliation: Center for Comput. Res., Nat. Polytech. Inst., Mexico (Martin, C.L.)
Abstract	Software estimation has been identified as one of the three great challenges for half-century-old computer science. Developers should be able to achieve practices containing effort estimation based on their own programs. New paradigms as fuzzy logic may offer an alternative for software effort estimation. This paper describes an application whose results are compared with those of a multiple regression. A subset of 41 modules developed from ten programs are used as data. Result shows that the value of MMRE (an aggregation of magnitude of relative error, MRE) applying fuzzy logic was slightly higher than MMRE applying multiple regression; while the value of Pred(20) applying fuzzy logic was slightly higher than Pred(20) applying multiple regression. Moreover, six of 41 MRE was equal to zero (without any deviation) when fuzzy logic was applied (not any similar case was presented when multiple regression was applied).
Sponsorship	Sociedad Mexicana de Ciencia de la Computacion (Mexican Comput. Sci. Soc.)
Starting Page	113
Ending Page	120
File Size	293625
Page Count	8
File Format	PDF
ISBN	0769524540
ISSN	15504069
DOI	10.1109/ENC.2005.47
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2005-09-26
Publisher Place	Mexico
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Programming Fuzzy logic Computer aided software engineering Flow graphs Computer science Software measurement Software engineering Computational intelligence Algorithm design and analysis Software metrics Coefficient of Determination Software Effort Estimation Fuzzy Logic Multiple Regression Correlation
Content Type	Text
Resource Type	Article

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