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Classification Scheme for Software Reliability Models

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Artificial Intelligence and Evolutionary Computations in Engineering Systems

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 394))

Abstract

This study is mainly concerned with software reliability models where details of SGRMs model is studied. With the plethora of SRMs available, classification scheme is proposed to categorize models accordingly. Classification is based on different phases of SDLC to give a clear picture about what type of model should be used in different software development phases. This classification is meant for characterization, analysis, identification, and comparison of software reliability models and leads to selection of an optimum subclass of software reliability models. In this study, analysis and ranking of SRMs is considered, the research gaps on model usage and assumptions have been addressed, and classification of reliability models according to software development life cycle (SDLC) phases has been provided. The main objective of this study is to promote an improved understanding of software reliability model’s classification and selection process.

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Authors and Affiliations

  1. UIET, Panjab University, Chandigarh, India

    Dalbir Kaur & Monika Sharma

Authors
  1. Dalbir Kaur
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  2. Monika Sharma
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Corresponding author

Correspondence to Dalbir Kaur .

Editor information

Editors and Affiliations

  1. Electrical and Electronics Engineer, SRM Engineering College, Kattankulathur, Tamil Nadu, India

    Subhransu Sekhar Dash

  2. Electrical & Electronics Engineering, Velammal Engineering College, Chennai, Tamil Nadu, India

    M. Arun Bhaskar

  3. Dept Electrical & Electronics Engg, IIT Delhi, New Delhi, India

    Bijaya Ketan Panigrahi

  4. Indian Statistical Institute, Kolkata, India

    Swagatam Das

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Kaur, D., Sharma, M. (2016). Classification Scheme for Software Reliability Models. In: Dash, S., Bhaskar, M., Panigrahi, B., Das, S. (eds) Artificial Intelligence and Evolutionary Computations in Engineering Systems. Advances in Intelligent Systems and Computing, vol 394. Springer, New Delhi. https://doi.org/10.1007/978-81-322-2656-7_66

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  • DOI: https://doi.org/10.1007/978-81-322-2656-7_66

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  • Publisher Name: Springer, New Delhi

  • Print ISBN: 978-81-322-2654-3

  • Online ISBN: 978-81-322-2656-7

  • eBook Packages: EngineeringEngineering (R0)

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