Software Effort Prediction - A Fuzzy Logic Approach

Authors

  • Sanjay Kumar

  • Jaya Pal

  • Vandana Bhattacherjee

Keywords:

software cost estimation, effort prediction, fuzzy logic, linear regression

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.

How to Cite

Sanjay Kumar, Jaya Pal, & Vandana Bhattacherjee. (2013). Software Effort Prediction - A Fuzzy Logic Approach. Global Journal of Computer Science and Technology, 13(C10), 9–14. Retrieved from https://computerresearch.org/index.php/computer/article/view/279

Software Effort Prediction - A Fuzzy Logic Approach

Published

2013-05-15