Software Reliability Growth Models Incorporating Software Project/Application’s Characteristics as a Power Function with Change Point

Shinji Inoue, Abhishek Tandon () and Prarna Mehta ()
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Shinji Inoue: Kansal University
Abhishek Tandon: University of Delhi
Prarna Mehta: University of Delhi

A chapter in Optimization Models in Software Reliability, 2022, pp 31-51 from Springer

Abstract: Abstract Software Reliability is a high-handed aspect to ascertain the quality of the system, which leads to development of tools that incorporates real time set-up. One of the real time concepts is change point, which highlights on the fact that a characteristic of the model changes during the testing time duration and it is significant to incorporate its effect in the model developed to ameliorate the reliability of the system. Moreover, faults are assumed to be independent and are incurred at any arbitrary time but, in practical world, faults may occur due to many factors like the testing environment, resource allocation, code complexity, testing team skill-set etc. This rate tends to change with time and assuming it to be constant may not reflect upon an actual output. Another conundrum that is taken care of is the release time of the software project/application. The weightage that is implied by this optimization planning is due to the fact that over testing may incur high cost to the firm whereas under testing may lead to release of a project/application with high fixing cost faults affecting the manufacturer by an elevated post-release cost. In this chapter, a framework is proposed that extends error-removal phenomenon model by encapsulating the software project/application characteristics as a parameter. A realistic software development situation is also taken in account by considering the parameter not only as a constant but a time dependent function. The suggested SRGMs are also monitored under a change point scenario, which gives real-time edge to the problem, and are then utilized to develop release time policy balancing reliability and expected cost incurred by a project/an application. The models are validated using Tandem dataset and performance measures are compared quantitatively with the standard models. On comparison of the results, the proposed model outperforms other extant models with and without change point.

Keywords: Software reliability; Software reliability growth model; Change point; Power function; Release policy; Software testing phase (search for similar items in EconPapers)
Date: 2022
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DOI: 10.1007/978-3-030-78919-0_2

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