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Title: Story Point Approach based Agile Software Effort Estimation using Various SVR Kernel Methods
Authors: Satapathy, S M
Panda, A
Rath, S K
Keywords: Agile Software Development
Software Effort Estimation
Story Point Approach
Support Vector Regression
Issue Date: Jul-2014
Citation: 2014 International Conference on Software Engineering & Knowledge Engineering July 1-3, 2014Hyatt Regency, Vancouver, Canada
Abstract: Agile software development process represents a major departure from traditional, plan-based approaches to software engineering. Estimating effort of agile software accurately in early stage of software development life cycle is a major challenge in the software industry. For improving the estimation accuracy, various optimization techniques are used. The Support Vector Regression (SVR) is one of these techniques that helps in getting optimal estimated values. The main objective of the research work carried out in this paper is to estimate the effort of agile softwares using story point approach. An attempt has been made to optimize the results obtained from story point approach using various SVR kernel methods to achieve better prediction accuracy. A performance comparison of the models obtained using various SVR kernel methods is also presented in order to highlight performance achieved by each method.
Description: Copyright belongs to the proceeding publisher
Appears in Collections:Conference Papers

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