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Software Reliability Modeling and Methods: A State of the Art Review

In: Optimization Models in Software Reliability

Author

Listed:
  • Mengmeng Zhu

    (North Carolina State University)

  • Hoang Pham

    (Rutgers University)

Abstract

The increasing dependence of our modern society on software systems has driven the development of software products to be more competitive and time-consuming. At the same time, large-scale software development is still considered a complex, effort-consuming, and expensive activity, given the influence of the transitions in software development, which are the adoption of software product lines, software development globalization, and the adoption of software ecosystems. Hence, the consequences of software failures become costly and even dangerous. In this chapter, we thus review probabilistic software reliability models with different groups. Since nonhomogeneous Poisson process (NHPP) based software reliability models have been successful tools in practical software reliability engineering, this chapter mainly focuses on the review of NHPP based software reliability models that address various concerns in software development practices, such as testing efficiency, testing coverage, multiple fault types, time-delay fault removal, and environmental factors.

Suggested Citation

  • Mengmeng Zhu & Hoang Pham, 2022. "Software Reliability Modeling and Methods: A State of the Art Review," Springer Series in Reliability Engineering, in: Anu G. Aggarwal & Abhishek Tandon & Hoang Pham (ed.), Optimization Models in Software Reliability, pages 1-29, Springer.
    • Handle: RePEc:spr:ssrchp:978-3-030-78919-0_1
    DOI: 10.1007/978-3-030-78919-0_1
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    Cited by:

    1. Yuka Minamino & Yusuke Makita & Shinji Inoue & Shigeru Yamada, 2022. "Efficiency Evaluation of Software Faults Correction Based on Queuing Simulation," Mathematics, MDPI, vol. 10(9), pages 1-9, April.

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