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Modeling and monitoring multi-release software systems based on failure detection rate: a generalized approach

Author

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  • Jyotish N. P. Singh

    (University of Delhi)

  • Adarsh Anand

    (University of Delhi)

  • Priyanka Gupta

    (University of Delhi)

Abstract

The need to deal with multi- upgrades of the software system cannot be denied by any individual in today’s world. The existence of faults in the said scenario has always been an issue of concern for the management as well as for the researchers. The fault debugging phenomenon has been extensively studied in multi- release environment of software systems. Researchers have also worked on the detection process using unification scheme through which different distribution functions can be easily utilized. But out of the several available functions, which distribution should be employed in the studies has always been a matter of concern there generating the need to move towards the generalized framework was observed. In the present article, a novel approach for modelling multi- upgraded software system is provided that is able to capture the diversified nature of failure rate distribution with the help of generalized failure distribution function. Furthermore, the applicability of the proposed modelling framework has been checked using the data sets from two forms of available software programs: one in closed form and other in open source.

Suggested Citation

  • Jyotish N. P. Singh & Adarsh Anand & Priyanka Gupta, 2024. "Modeling and monitoring multi-release software systems based on failure detection rate: a generalized approach," 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. 15(4), pages 1397-1406, April.
    • Handle: RePEc:spr:ijsaem:v:15:y:2024:i:4:d:10.1007_s13198-022-01842-8
    DOI: 10.1007/s13198-022-01842-8
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    References listed on IDEAS

    as
    1. Adarsh Anand & Subhrata Das & Ompal Singh & Vijay Kumar, 2022. "Testing resource allocation for software with multiple versions," International Journal of Applied Management Science, Inderscience Enterprises Ltd, vol. 14(1), pages 23-37.
    2. Subburaj Ramasamy & Indhurani Lakshmanan, 2017. "Machine Learning Approach for Software Reliability Growth Modeling with Infinite Testing Effort Function," Mathematical Problems in Engineering, Hindawi, vol. 2017, pages 1-6, July.
    3. Adarsh Anand & Mohini Agarwal & Deepti Aggrawal & Ompal Singh, 2016. "Unified approach for modeling innovation adoption and optimal model selection for the diffusion process," Journal of Advances in Management Research, Emerald Group Publishing Limited, vol. 13(2), pages 154-178, August.
    4. Adarsh Anand & Mohini Agarwal & Deepti Aggrawal & Ompal Singh, 2016. "Unified approach for modeling innovation adoption and optimal model selection for the diffusion process," Journal of Advances in Management Research, Emerald Group Publishing Limited, vol. 13(2), pages 154-178, August.
    5. Adarsh Anand & Gunjan Bansal, 2017. "Interpretive structural modelling for attributes of software quality," Journal of Advances in Management Research, Emerald Group Publishing Limited, vol. 14(3), pages 256-269, August.
    6. Adarsh Anand & Gunjan Bansal, 2017. "Interpretive structural modelling for attributes of software quality," Journal of Advances in Management Research, Emerald Group Publishing Limited, vol. 14(3), pages 256-269, August.
    7. Adarsh Anand & Mohini Agarwal & Deepti Aggrawal & Ompal Singh, 2016. "Unified approach for modeling innovation adoption and optimal model selection for the diffusion process," Journal of Advances in Management Research, Emerald Group Publishing Limited, vol. 13(2), pages 154-178, August.
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