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Software Effort Estimation is highly important and considered to be a primary activity in software project management. The accurate estimates are conducted in the development of business case in the earlier stages of project management. This accurate prediction helps the investors and customers to identify the total investment and schedule of the project. The project developers define process to estimate the effort more accurately with the available mythologies using the attributes of the project. The algorithmic estimation models are very simple and reliable but not so accurate. The categorical datasets cannot be estimated using the existing techniques. Also the attributes of effort estimation are measured in linguistic values which may leads to confusion. This paper looks in to the accuracy and reliability of a non-algorithmic approach based on adaptive neuro fuzzy logic in the problem of effort estimation. The performance of the proposed method demonstrates that there is a accurate substantiation of the outcomes with the dataset collected from various projects. The results were compared for its accuracy using MRE and MMRE as the metrics. The research idea in the proposed model for effort estimation is based on project domain and attribute which incorporates the model with more competence in augmenting the crux of neural network to exhibit the advances in software estimation.
Shivakumar Nagarajan. 2016. \u201cA Neuro Fuzzy Algorithm to Compute Software Effort Estimation\u201d. Global Journal of Computer Science and Technology - C: Software & Data Engineering GJCST-C Volume 16 (GJCST Volume 16 Issue C1).
Crossref Journal DOI 10.17406/gjcst
Print ISSN 0975-4350
e-ISSN 0975-4172
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Total Score: 103
Country: India
Subject: Global Journal of Computer Science and Technology - C: Software & Data Engineering
Authors: N. Shivakumar, N. Balaji, K. Ananthakumar (PhD/Dr. count: 0)
View Count (all-time): 280
Total Views (Real + Logic): 7483
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Publish Date: 2016 04, Fri
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This study aims to comprehensively analyse the complex interplay between
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