Software Effort Prediction – A Fuzzy Logic Approach

Software Effort Prediction – A Fuzzy Logic Approach

Sanjay Kumar

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Jaya Pal

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Vandana Bhattacherjee

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Birla Institute of Technology, Mesra

Software Effort Prediction – A Fuzzy Logic Approach

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Abstract

Accuracy in the estimation of software Effort/Cost is one of the desirable criteria for any software cost estimation model. The estimation of effort or cost before the actual development of any software is the most crucial task of the present day software development project managers. Software project attributes are often measured in terms of linguistic values such as very low, low, Average, high and very high. The imprecise nature of such attributes constitutes uncertainty and vagueness in their subsequent interpretation. In this paper we propose a Fuzzy logic based model for software effort prediction. We feel that fuzzy Software cost estimation Model should be able to deal with imprecision and uncertainty associated with various parameter values. Fuzzy analogy model has been developed and validated upon student data.

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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Sanjay Kumar. 2013. \u201cSoftware Effort Prediction – A Fuzzy Logic Approach\u201d. Global Journal of Computer Science and Technology - C: Software & Data Engineering GJCST-C Volume 13 (GJCST Volume 13 Issue C10).

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GJCST Volume 13 Issue C10

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Keywords

effort prediction Fuzzy logic linear regression Software Cost Estimation

Submission ReceivedDecember 13, 2012
Peer Review Double Blind
Handling Editor
Accepted January 2, 2013
Published January 15, 2013

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v1.2

Issue date

October 5, 2013

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Article Matrices

Total Score: 103

Country: India

Subject: Global Journal of Computer Science and Technology - C: Software & Data Engineering

Authors: Sanjay Kumar, Jaya Pal, Vandana Bhattacherjee (PhD/Dr. count: 0)

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Publish Date: 2013 10, Sat

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Total Views: 9516

Total Downloads: 2517

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