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Software Reliability Growth Model in Distributed Environment Subject to Debugging Time Lag

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Performance Prediction and Analytics of Fuzzy, Reliability and Queuing Models

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Abstract

With the growing complexity of software in distributed computing environment, it is necessary to have knowledge of debugging process and testing coverage to make certain sure about achieved software reliability. This investigation is concerned with the reliability growth evaluation of the software system operating in the distributed development environment by considering the coverage factor and power function of testing time. The concept of delay effect factor is also taken into account which reveals the delay in removals of identified faults at any time. Based upon the cost and reliability criterion, the optimal policies for the software testing are suggested. Runge–Kutta technique is used to obtain the expected fault removals in a fixed time interval and others software reliability indices.

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Author information

Authors and Affiliations

  1. AIAS, Amity University, 125-Noida 201303, Noida, India

    Ritu Gupta

  2. Indian Institute of Technology Roorkee, Roorkee, 247667, Uttarakhand, India

    Madhu Jain

  3. Institute of Basic Science, Khandari, Agra, 282002, India

    Anuradha Jain

Authors
  1. Ritu Gupta
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  2. Madhu Jain
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  3. Anuradha Jain
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Corresponding author

Correspondence to Ritu Gupta .

Editor information

Editors and Affiliations

  1. Department of Mathematics, Indian Institute of Technology Roorkee, Roorkee, Uttarakhand, India

    Kusum Deep

  2. Department of Mathematics, Indian Institute of Technology Roorkee, Roorkee, Uttarakhand, India

    Madhu Jain

  3. Kent Business School, Centre for Logistics and Heuristic Optimization (CLHO), University of Kent, Canterbury, Kent, United Kingdom

    Said Salhi

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Gupta, R., Jain, M., Jain, A. (2019). Software Reliability Growth Model in Distributed Environment Subject to Debugging Time Lag. In: Deep, K., Jain, M., Salhi, S. (eds) Performance Prediction and Analytics of Fuzzy, Reliability and Queuing Models . Asset Analytics. Springer, Singapore. https://doi.org/10.1007/978-981-13-0857-4_7

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