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The Role of Neural Networks and Metaheuristics in Agile Software Development Effort Estimation
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Author(s): Anupama Kaushik (Maharaja Surajmal Institute of Technology, Delhi, India; Indira Gandhi Delhi Technical University for Women, Delhi, India), Devendra Kumar Tayal (Indira Gandhi Delhi Technical University for Women, Delhi, India)and Kalpana Yadav (Indira Gandhi Delhi Technical University for Women, Delhi, India)
Copyright: 2022
Pages: 23
Source title:
Research Anthology on Artificial Neural Network Applications
Source Author(s)/Editor(s): Information Resources Management Association (USA)
DOI: 10.4018/978-1-6684-2408-7.ch014
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Abstract
In any software development, accurate estimation of resources is one of the crucial tasks that leads to a successful project development. A lot of work has been done in estimation of effort in traditional software development. But, work on estimation of effort for agile software development is very scant. This paper provides an effort estimation technique for agile software development using artificial neural networks (ANN) and a metaheuristic technique. The artificial neural networks used are radial basis function neural network (RBFN) and functional link artificial neural network (FLANN). The metaheuristic technique used is whale optimization algorithm (WOA), which is a nature-inspired metaheuristic technique. The proposed techniques FLANN-WOA and RBFN-WOA are evaluated on three agile datasets, and it is found that these neural network models performed extremely well with the metaheuristic technique used. This is further empirically validated using non-parametric statistical tests.
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