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Proceedings of the 2nd International Conference on Data Engineering and Communication Technology pp 137–144Cite as

Software Test Case Allocation

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 828))

Abstract

To allocate optimal number of test cases among functions in order to reduce the expected loss of resources like time, cost etc., and a method has been proposed in this paper. Test cases play an important role in software testing. Allocation of test cases should be done according to the function’s significance. There can be many engineering and non-engineering attributes which can provide assumption for function’s priority for test case allocation. In this paper, complexity, cost, criticality, and occurrence probability are taken into consideration for optimal test case allocation problem. Previously, test case allocation was performed only using occurrence probability and criticality. We present a new method to allocate number of test cases among various software operations, by fixing total number of test cases. Proportionality factor in terms of failure probability is derived based on the above-identified allocation factors. Fuzzy numbers are used to represent allocation factors. Centroid’s method of defuzzification has been used for the valuation of failure probability weight. Test case allocation is performed based on the weightage of operation’s failure probability.

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Authors and Affiliations

  1. Department of Computer Applications, National Institute of Technology, Jamshedpur, 831014, India

    Amrita & Dilip Kumar Yadav

Authors
  1. Amrita
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  2. Dilip Kumar Yadav
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Corresponding author

Correspondence to Amrita .

Editor information

Editors and Affiliations

  1. Symbiosis Institute of Technology, Symbiosis International University, Pune, Maharashtra, India

    Anand J. Kulkarni

  2. Department of CSE, PVP Siddhartha Institute of Technology, Vijayawada, Andhra Pradesh, India

    Suresh Chandra Satapathy

  3. School of Mechanical and Aerospace Engineering, Nanyang Technological University, Singapore, Singapore

    Tai Kang

  4. Faculty of Industrial and Systems Engineering, Tarbiat Modares University, Tehran, Iran

    Ali Husseinzadeh Kashan

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© 2019 Springer Nature Singapore Pte Ltd.

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Amrita, Yadav, D.K. (2019). Software Test Case Allocation. In: Kulkarni, A., Satapathy, S., Kang, T., Kashan, A. (eds) Proceedings of the 2nd International Conference on Data Engineering and Communication Technology. Advances in Intelligent Systems and Computing, vol 828. Springer, Singapore. https://doi.org/10.1007/978-981-13-1610-4_14

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  • DOI: https://doi.org/10.1007/978-981-13-1610-4_14

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-1609-8

  • Online ISBN: 978-981-13-1610-4

  • eBook Packages: EngineeringEngineering (R0)

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