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An Empirical Analysis of Software Reliability Prediction Through Reliability Growth Model Using Computational Intelligence

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Computational Intelligence in Data Mining - Volume 2

Part of the book series: Smart Innovation, Systems and Technologies ((SIST,volume 32))

Abstract

The objective of this paper is to predict software reliability using non-parametric neural network of computational intelligence (CI). The study uses data sets containing failure history such as number of failures, failure time interval etc. In this paper, we explore the applicability of feed-forward neural network with back-propagation training as a reliability growth model for software reliability prediction. The prediction result is compared with that of traditional parametric software reliability growth models. The results described in the proposed model exhibits an accurate and consistent behavior in reliability prediction. The experimental results demonstrate that the proposed model provides a significant difference respect to accuracy and consistency.

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Authors and Affiliations

  1. Department of Computer Science and Engineering, IGIT, Utkal University, Bhubaneswar, Odisha, India

    Manmath Kumar Bhuyan, Srinivas Sethi & Sumit Kar

  2. Department of Computer Science and Engineering, NIT, Rourkela, Odisha, India

    Durga Prasad Mohapatra

Authors
  1. Manmath Kumar Bhuyan
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  2. Durga Prasad Mohapatra
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  3. Srinivas Sethi
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  4. Sumit Kar
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Corresponding author

Correspondence to Manmath Kumar Bhuyan .

Editor information

Editors and Affiliations

  1. University of Canberra, Canberra, Australia and University of South Australia, Adelaide, South Australia, Australia

    Lakhmi C. Jain

  2. Department of Computer Science and Engineering, Veer Surendra Sai University of Technology, Sambalpur, Odisha, India

    Himansu Sekhar Behera

  3. Computer Science & Engineering, Kalyani University, Nadia, West Bengal, India

    Jyotsna Kumar Mandal

  4. Dept. of Computer Science and Engineering, National Institute of Technology Rourkela, Rourkela, India

    Durga Prasad Mohapatra

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Bhuyan, M.K., Mohapatra, D.P., Sethi, S., Kar, S. (2015). An Empirical Analysis of Software Reliability Prediction Through Reliability Growth Model Using Computational Intelligence. In: Jain, L., Behera, H., Mandal, J., Mohapatra, D. (eds) Computational Intelligence in Data Mining - Volume 2. Smart Innovation, Systems and Technologies, vol 32. Springer, New Delhi. https://doi.org/10.1007/978-81-322-2208-8_47

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  • DOI: https://doi.org/10.1007/978-81-322-2208-8_47

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  • Publisher Name: Springer, New Delhi

  • Print ISBN: 978-81-322-2207-1

  • Online ISBN: 978-81-322-2208-8

  • eBook Packages: EngineeringEngineering (R0)

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