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Performance analysis of FCM based ANFIS and ELMAN neural network in software effort estimation
Joint Authors
Edinson, Praynlin
Muthuraj, Latha
Source
The International Arab Journal of Information Technology
Issue
Vol. 15, Issue 1 (31 Jan. 2018)9 p.
Publisher
Publication Date
2018-01-31
Country of Publication
Jordan
No. of Pages
9
Main Subjects
Information Technology and Computer Science
Abstract EN
One of the major challenges confronted in the software industry is the software cost estimation.
It is very much related to, the decision making in an organization to bid, plan and budget the system that is to be developed.
The basic parameter in the software cost estimation is the development effort.
It tend to be less accurate when computed manually.
This is because, the requirements are not specified accurately at the earlier stage of the project.
So several methods were developed to estimate the development effort such as regression, iteration etc.
In this paper a soft computing based approach is introduced to estimate the development effort.
The methodology involves an Adaptive Neuro Fuzzy Inference System (ANFIS) using the Fuzzy C Means clustering (FCM) and Subtractive clustering (SC) technique to compute the software effort.
The methodology is compared with the effort estimated using an Elman neural network.
The performance characteristics of the ANFIS based FCM and SC are verified using evaluation parameters.
American Psychological Association (APA)
Edinson, Praynlin& Muthuraj, Latha. 2018. Performance analysis of FCM based ANFIS and ELMAN neural network in software effort estimation. The International Arab Journal of Information Technology،Vol. 15, no. 1.
https://search.emarefa.net/detail/BIM-811786
Modern Language Association (MLA)
Edinson, Praynlin& Muthuraj, Latha. Performance analysis of FCM based ANFIS and ELMAN neural network in software effort estimation. The International Arab Journal of Information Technology Vol. 15, no. 1 (Jan. 2018).
https://search.emarefa.net/detail/BIM-811786
American Medical Association (AMA)
Edinson, Praynlin& Muthuraj, Latha. Performance analysis of FCM based ANFIS and ELMAN neural network in software effort estimation. The International Arab Journal of Information Technology. 2018. Vol. 15, no. 1.
https://search.emarefa.net/detail/BIM-811786
Data Type
Journal Articles
Language
English
Notes
Includes appendix.
Record ID
BIM-811786