A Heuristic Effort Estimation Method using BAT Algorithm through Clustering
M. Padmaja1, D. Haritha2

1M.Padmaja, Assistant Professor, Department of CSE, GIT, GITAM, Visakhapatnam, (Andhra Pradesh), India.
2Dr D.Haritha, Professor, Department of CSE, University College of Engineering, JNTUK, Kakinada, (Andhra Pradesh), India.

Manuscript received on 30 June 2019 | Revised Manuscript received on 05 July 2019 | Manuscript published on 30 July 2019 | PP: 1536-1541| Volume-8 Issue-9, July 2019 | Retrieval Number: I8242078919/19©BEIESP | DOI: 10.35940/ijitee.I8242.078919
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© The Authors. 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: The most challenging task within software industries or organizations is project handling. Effort estimation has to be made accurately, before handling the project in order to win the bidding among several competitions. To estimate this effort an efficient method has to be selected. In this paper, we propose two novel methods: Grey Relational Analysis (GRA) method and Meta heuristic approach as BAT algorithm (BA) for predicting the effort of a specific project. These two methods are applied on suitable parameters or features that are obtained through one-way ANOVA and Pearson Correlation Coefficient (PCC) methods to forming a reduced data. The experimentation of this paper proves the efficiency of the anticipated method. The proposed method is applied over original data set and dimensionally reduced data set which are compared and tabulated. From the experimental results it is evident that the proposed method produced less error and more prediction.
Keywords: Effort Estimation, Grey Relational Analysis, BAT Algorithm, K-Means Clustering.

Scope of the Article: Predictive Analysis