Software Effort Estimation for Size Proxy Metric Framework Modelling using Software Estimation Models and Neuro Fuzzy Logic Approach
Shama Kousar Jabeen.A1, B.Arthi2
1Shama Kousar Jabeen.A, Department Of Information Technology, Easwari Engineering College, Ramapuram, Chennai, India.
2B.Arthi, Department Of Information Technology, Easwari Engineering College, Ramapuram, Chennai, India.
Manuscript received on May 04, 2014. | Revised Manuscript received on May 05, 2014. | Manuscript published on May 05, 2014. | PP: 74-79 | Volume-4 Issue-2, May 2014. | Retrieval Number: B2194054214/2014©BEIESP
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©The Authors. Published By: Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/
Abstract: As software grew in size and requirements it also successively grew in complexity and cost. Evaluating size estimates accurately at an initial stage in the software conglomeration is of high priority. Conventional techniques have the problems of uncertainty and precision during the evaluation of size estimates. Software engineering cost models and estimation techniques are used for a number of purposes. In our work we have compared the results using three function point based effort estimation models. We have also compared MMRE, MMER, MRE, MER values by training the dataset using neurofuzzy logic based machine learning aapproach which overcomes the problems present in the traditional methods. In this paper effort estimates has been obtained by modeling and training the size metric framework. The dataset trained in our work is for 100 projects .
Keywords: Size metric, fuzzy logic software effort ,software engineering, cost estimation models, MMRE ,MER,MRE, MMER.