TYPE-2 FUZZY LOGIC APPROACH TO INCREASE THE ACCURACY OF SOFTWARE DEVELOPMENT EFFORT ESTIMATION

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BARATI ZAHRA; JAFARI SHAHBARZADE MEHDI; KHATIBI BARDSIRI VAHID

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Journal: JOURNAL OF ADVANCES IN COMPUTER ENGINEERING AND TECHNOLOGY Year:2016 | Volume:2 | Issue:4 Page(s): 9-16

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Title

TYPE-2 FUZZY LOGIC APPROACH TO INCREASE THE ACCURACY OF SOFTWARE DEVELOPMENT EFFORT ESTIMATION

Author(s)

BARATI ZAHRA | JAFARI SHAHBARZADE MEHDI | KHATIBI BARDSIRI VAHID | Issue Writer Certificate

Keywords

FUZZY LOGIC

GRADIENT DESCENT

NEURO-FUZZY

SOFTWARE EFFORT ESTIMATION

TYPE-2 FUZZY LOGIC

Abstract

predicting the effort of a successful project has been a major problem for software engineers the significance of which has led to extensive investigation in this area. One of the main objectives of software engineering society is the development of useful models to predict the costs of software product development. The absence of these activities before starting the project will lead to various problems. Researchers focus their attention on determining techniques with the highest effort prediction accuracy or on suggesting new combinatory techniques for providing better estimates. Despite providing various methods for the estimation of effort in software projects, compatibility and accuracy of the existing methods is not yet satisfactory. In this article, a new method has been presented in order to increase the accuracy of effort estimation. This model is based on the type-2 FUZZY LOGIC in which the gradient descend algorithm and the neurofuzzy- genetic hybrid approach have been used in order to teach the type-2 fuzzy system. In order to evaluate the proposed algorithm, three databases have been used. The results of the proposed model have been compared with NEURO-FUZZY and type- 1 fuzzy system. This comparison reveals that the results of the proposed model have been more favorable than those of the other two models.

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APA: Copy

BARATI, ZAHRA, JAFARI SHAHBARZADE, MEHDI, & KHATIBI BARDSIRI, VAHID. (2016). TYPE-2 FUZZY LOGIC APPROACH TO INCREASE THE ACCURACY OF SOFTWARE DEVELOPMENT EFFORT ESTIMATION. JOURNAL OF ADVANCES IN COMPUTER ENGINEERING AND TECHNOLOGY, 2(4), 9-16. SID. https://sid.ir/paper/346275/en

Vancouver: Copy

BARATI ZAHRA, JAFARI SHAHBARZADE MEHDI, KHATIBI BARDSIRI VAHID. TYPE-2 FUZZY LOGIC APPROACH TO INCREASE THE ACCURACY OF SOFTWARE DEVELOPMENT EFFORT ESTIMATION. JOURNAL OF ADVANCES IN COMPUTER ENGINEERING AND TECHNOLOGY[Internet]. 2016;2(4):9-16. Available from: https://sid.ir/paper/346275/en

IEEE: Copy

ZAHRA BARATI, MEHDI JAFARI SHAHBARZADE, and VAHID KHATIBI BARDSIRI, “TYPE-2 FUZZY LOGIC APPROACH TO INCREASE THE ACCURACY OF SOFTWARE DEVELOPMENT EFFORT ESTIMATION,” JOURNAL OF ADVANCES IN COMPUTER ENGINEERING AND TECHNOLOGY, vol. 2, no. 4, pp. 9–16, 2016, [Online]. Available: https://sid.ir/paper/346275/en

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