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Radial Basis Function Network Based Intelligent Scheme for Software Quality Prediction

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Soft Computing and its Engineering Applications (icSoftComp 2021)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1572))

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Abstract

With the increasing interest in digital world, various software whether it is in e-commerce or in the entertainment industry, have gained much attention in recent time. It becomes important to access the quality of a software which is usually done with the expert supervision and results into more money and time. Neural network systems have been effectively incorporated by famous companies such as FlipKart, Snapdeal, Netflix, and others due to their capacity to expand the amount of quantifiable attributes for prediction. This paper presents a framework of a radial basis function network for software quality prediction and uses Thin-plate spline RBF as its activation function. This is a network with a single layer making it easier to be trained with effective prediction results. The paper presents the theory of its training using gradient descent based back propagation algorithm with the training data-set of 20 samples and MATLAB results are provided to support the theoretical claim. Furthermore, the proposed scheme has been validated for five unknown software samples which quality is required to be predicted and It is demonstrated that the predicted soft quality results by the proposed approach are very close to the actual software quality which shows the effectiveness of the proposed approach.

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Authors and Affiliations

  1. Department of CSE, Guru Jambheshwar University of Science and Technology, Hisar, 125001, Haryana, India

    Ritu & O. P. Sangwan

Authors
  1. Ritu
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  2. O. P. Sangwan
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Correspondence to Ritu .

Editor information

Editors and Affiliations

  1. Charotar University of Science and Technology, Changa, Anand, India

    Kanubhai K. Patel

  2. CEPT University, Ahmedabad, India

    Gayatri Doctor

  3. Charotar University of Science and Technology, Changa, Anand, India

    Atul Patel

  4. Saint Mary's University, Halifax, NS, Canada

    Pawan Lingras

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Ritu, Sangwan, O.P. (2022). Radial Basis Function Network Based Intelligent Scheme for Software Quality Prediction. In: Patel, K.K., Doctor, G., Patel, A., Lingras, P. (eds) Soft Computing and its Engineering Applications. icSoftComp 2021. Communications in Computer and Information Science, vol 1572. Springer, Cham. https://doi.org/10.1007/978-3-031-05767-0_26

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  • DOI: https://doi.org/10.1007/978-3-031-05767-0_26

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-05766-3

  • Online ISBN: 978-3-031-05767-0

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