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Software Reliability Growth Models

In: Software Reliability Assessment with OR Applications

Author

Listed:
  • P. K. Kapur

    (University of Delhi)

  • H. Pham

    (Rutgers University)

  • A. Gupta

    (University of Delhi)

  • P. C. Jha

    (University of Delhi)

Abstract

Studies in software reliability modeling started as early as early 1960s. The issues related software quality quantification and reliability measurement arose even during the time when the development of computing systems started. Since in the 1960s the cost of the computing systems were very high, use was limited to few organizations, hardware design, test and maintainability was immature, the concepts of software reliability were in infancy stage as much of the studies were concerned with the productivity and quality of the hardware systems.

Suggested Citation

  • P. K. Kapur & H. Pham & A. Gupta & P. C. Jha, 2011. "Software Reliability Growth Models," Springer Series in Reliability Engineering, in: Software Reliability Assessment with OR Applications, chapter 0, pages 49-95, Springer.
    • Handle: RePEc:spr:ssrchp:978-0-85729-204-9_2
    DOI: 10.1007/978-0-85729-204-9_2
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    Citations

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    Cited by:

    1. Peng, R. & Li, Y.F. & Zhang, W.J. & Hu, Q.P., 2014. "Testing effort dependent software reliability model for imperfect debugging process considering both detection and correction," Reliability Engineering and System Safety, Elsevier, vol. 126(C), pages 37-43.
    2. Hirose, Hideo, 2012. "Estimation of the number of failures in the Weibull model using the ordinary differential equation," European Journal of Operational Research, Elsevier, vol. 223(3), pages 722-731.
    3. Min Xie & Chengjie Xiong & Szu-Hui Ng, 2014. "A study of N-version programming and its impact on software availability," International Journal of Systems Science, Taylor & Francis Journals, vol. 45(10), pages 2145-2157, October.
    4. Zhiguo Wang & Jinde Wang & Xue Liang, 2007. "Non-parametric Estimation for NHPP Software Reliability Models," Journal of Applied Statistics, Taylor & Francis Journals, vol. 34(1), pages 107-119.
    5. 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.
    6. Hiroyuki Okamura & Tadashi Dohi, 2016. "Phase-type software reliability model: parameter estimation algorithms with grouped data," Annals of Operations Research, Springer, vol. 244(1), pages 177-208, September.
    7. Narayan Ramasubbu & Chris F. Kemerer, 2016. "Technical Debt and the Reliability of Enterprise Software Systems: A Competing Risks Analysis," Management Science, INFORMS, vol. 62(5), pages 1487-1510, May.
    8. Wang, Jinyong & Wu, Zhibo, 2016. "Study of the nonlinear imperfect software debugging model," Reliability Engineering and System Safety, Elsevier, vol. 153(C), pages 180-192.
    9. Gaver, Donald P. & Jacobs, Patricia A., 2014. "Reliability growth by failure mode removal," Reliability Engineering and System Safety, Elsevier, vol. 130(C), pages 27-32.
    10. Yaguang Yang, 2019. "Test based safety-critical software reliability estimation using Bayesian method and flow network structure," Journal of Risk and Reliability, , vol. 233(5), pages 847-856, October.
    11. Kwang Yoon Song & In Hong Chang & Hoang Pham, 2019. "A Testing Coverage Model Based on NHPP Software Reliability Considering the Software Operating Environment and the Sensitivity Analysis," Mathematics, MDPI, vol. 7(5), pages 1-21, May.

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