OPTIMIZED MODEL FOR SOFTWARE EFFORT ESTIMATION USING COCOMO-2 METRICS WITH FUZZY LOGIC

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Published: Aug 28, 2017
DOI: https://doi.org/10.26483/ijarcs.v8i7.4113
Keywords:
Software effort estimation, COCOMO-II, Fuzzy Logic, Membership Function

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Rahul Kumar Yadav
Mewar University Gangrar chittorgarh, India
S. Niranjan
Mewar University Gangrar chittorgarh, India

Abstract

Effort estimation is the crucial activity during the planning phase of any project. Successful delivery of the software project directly dependent on the accuracy of software effort estimation in planning phase. As effort multiplier have significant influence on the COCOMO-II and this research proposed the model for improving the precision of effort estimation using fuzzy logic on COCOMO-II effort multipliers. Fuzzy Logic is a rule based architecture which runs on binary pattern. It has Input set, associated with rule-sets based on the membership function. There are three membership functions i.e. Triangular Membership function, Trapezoidal Membership Function and Bell Membership Function which has been utilized in the proposed architecture.

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Vol. 8 No. 7 (2017): July-August 2017
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Author Biographies

Rahul Kumar Yadav, Mewar University Gangrar chittorgarh, India

Computer Science and Engineering Scholar

S. Niranjan, Mewar University Gangrar chittorgarh, India

Computer Science and Engineering Professor

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