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Reliability and optimal release time analysis for multi up-gradation software with imperfect debugging and varied testing coverage under the effect of random field environments

Author

Listed:
  • Subhashis Chatterjee

    (IIT(ISM) Dhanbad)

  • Deepjyoti Saha

    (IIT(ISM) Dhanbad)

  • Akhilesh Sharma

    (GSQAD/SRG/SAC-ISRO)

  • Yogesh Verma

    (GSQAD/SRG/SAC-ISRO)

Abstract

Due to change requests for up-gradation of adding new features, software organizations always develop new versions of the software by adding new features and improving the existing software. Various software reliability growth models have been proposed considering realistic issue which affects the reliability growth of software. Testing coverage is a crucial realistic issue that influences the fault detection and correction process. The difficulty level for removing different faults is different, same kind of testing coverage function can’t capture the fault detection process for all types of faults. Also, there exist random effects in the field environment due to the change between the testing environment and the operational environment. This randomness also affects the reliability growth of software. In this paper, a software reliability growth model has been proposed considering imperfect debugging, faults removal proportionality, two types of testing coverage function in the presence of random effect of the testing environment. Here different categories of faults have been considered. Though reliability is an important issue for software professionals, they are worried about the optimal release of software at an optimal cost. Considering the testing cost and debugging cost random, a cost model has been proposed for release time analysis.

Suggested Citation

  • Subhashis Chatterjee & Deepjyoti Saha & Akhilesh Sharma & Yogesh Verma, 2022. "Reliability and optimal release time analysis for multi up-gradation software with imperfect debugging and varied testing coverage under the effect of random field environments," Annals of Operations Research, Springer, vol. 312(1), pages 65-85, May.
    • Handle: RePEc:spr:annopr:v:312:y:2022:i:1:d:10.1007_s10479-021-04258-y
    DOI: 10.1007/s10479-021-04258-y
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    References listed on IDEAS

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    1. Subhashis Chatterjee & Shobhit Nigam & Jeetendra Bahadur Singh & Lakshmi Narayan Upadhyaya, 2012. "Effect of change point and imperfect debugging in software reliability and its optimal release policy," Mathematical and Computer Modelling of Dynamical Systems, Taylor & Francis Journals, vol. 18(5), pages 539-551, March.
    2. Pham, Hoang & Zhang, Xuemei, 2003. "NHPP software reliability and cost models with testing coverage," European Journal of Operational Research, Elsevier, vol. 145(2), pages 443-454, March.
    3. P.K. Kapur & Hoang Pham & A. Gupta & P.C. Jha, 2011. "Software Reliability Assessment with OR Applications," Springer Series in Reliability Engineering, Springer, number 978-0-85729-204-9, March.
    4. Mengmeng Zhu & Hoang Pham, 2018. "A multi-release software reliability modeling for open source software incorporating dependent fault detection process," Annals of Operations Research, Springer, vol. 269(1), pages 773-790, October.
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