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

Mengmeng Zhu () and Hoang Pham ()
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Mengmeng Zhu: North Carolina State University
Hoang Pham: Rutgers University

A chapter in Optimization Models in Software Reliability, 2022, pp 1-29 from Springer

Abstract: 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.

Keywords: Nonhomogenous Poisson process; Software reliability growth model; State of the art review (search for similar items in EconPapers)
Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:spr:ssrchp:978-3-030-78919-0_1

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DOI: 10.1007/978-3-030-78919-0_1

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