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Software Reliability Issues Under Operational And Testing Constraints

Author

Listed:
  • MADHU JAIN

    (Department of Mathematics, Institute of Basic Science, Dr. B.R. Ambedkar University, Khandari, Agra 282005, India)

  • KRITI PRIYA

    (Institute of Technology and Science, Mohan Nagar, Ghaziabad, India)

Abstract

Software reliability plays an important role in assuring the quality of a software. To ensure software reliability, the software is tested thoroughly during the testing phase. The time invested in the testing phase or the optimal software release time depends on the level of reliability to be achieved. There are two different concepts related to software reliability, viz., testing reliability and operational reliability. In this paper, we compare both types of software reliabilities to determine the optimal testing time of the software so as to minimize the total expected software maintenance cost. We consider a software has a number of clusters of modules, each having a different number of errors and a different failure rate. A hyperexponential model is employed for analyzing software reliability growth. Parameter estimation using the maximum likelihood estimation technique is also discussed. Numerical illustrations are taken to explore the effect of various parameters on reliability and maintenance cost. It is noticed that the operational reliability concept should be adopted for the software testing time problem.

Suggested Citation

  • Madhu Jain & Kriti Priya, 2005. "Software Reliability Issues Under Operational And Testing Constraints," Asia-Pacific Journal of Operational Research (APJOR), World Scientific Publishing Co. Pte. Ltd., vol. 22(01), pages 33-49.
    • Handle: RePEc:wsi:apjorx:v:22:y:2005:i:01:n:s021759590500042x
    DOI: 10.1142/S021759590500042X
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    Cited by:

    1. Anshul Tickoo & P. K. Kapur & A. K. Shrivastava & Sunil K. Khatri, 2016. "Testing effort based modeling to determine optimal release and patching time of software," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 7(4), pages 427-434, December.
    2. Hu, Q.P. & Xie, M. & Ng, S.H. & Levitin, G., 2007. "Robust recurrent neural network modeling for software fault detection and correction prediction," Reliability Engineering and System Safety, Elsevier, vol. 92(3), pages 332-340.

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