Simulation of Software Reliability Growth Model Based on Fault Severity and Imperfect Debugging

Sun, Xuejie; Li, Jiwei

doi:10.1007/978-3-030-72795-6_12

Cited by 2 publications

(1 citation statement)

References 27 publications

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“…Considering imperfect debugging and changing-point, Saraf et al [39] developed a multi-release framework on fault correction and fault detection for OSS. Sun and Li [40] proposed a few software imperfect debugging models taking into account fault introduction and fault levels.…”

Section: Related Workmentioning

confidence: 99%

Reliability model of open source software considering fault introduction with generalized inflection S-shaped distribution

Wang

Zhang

2022

SN Appl. Sci.

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Recently, the open source software (OSS) reliability has become one of hot issues. Owing to the uncertainty and complexity of OSS development, testing and debugging environments, OSS are completed dynamically. When detected faults are removed for OSS, they are likely to introduce new faults. Moreover, under the different OSS debugging environments, fault introduction will show different changes. For example, the fault introduction rate shows a decrease change, or increasing first and then decreasing change over time. Considering the complex and dynamic changes in fault introduction, an OSS reliability model that fault introduction obeys a generalized inflection S-shaped distribution is proposed in this paper. Experimental results indicate that the fitting and predictive performance of the proposed model is good. The established model in this paper can adapt the dynamical and complicated changes of fault introduction during OSS debugging. Moreover, the established model can accurately forecast the number of remaining faults in OSS, and assist developers to evaluate the actual OSS reliability.

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Section: Related Workmentioning

confidence: 99%

Reliability model of open source software considering fault introduction with generalized inflection S-shaped distribution

Wang

Zhang

2022

SN Appl. Sci.

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Enhancing Software Reliability Growth Modeling: Integrating Fault Severity Assessment with Multiple TEF

Kushwaha,

Kumar

2024

Int. J. Rel. Qual. Saf. Eng.

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The size and complexity of software products have expanded significantly, prompting researchers to focus on quality assessment by quantitatively assessing software product’s reliability growth. Several time dependent software reliability growth models (SRGMs) have been produced and are available in this regard. The authors evaluated errors of varied severity, but they believed that low severity faults would be repaired first, followed by high severity faults. Furthermore, the authors assumed in the change point model that the team changed their strategy, i.e., the fault detection rate changed after a particular time but making a plan and executing that strategy takes a long time, and as a result, the industry confronts a delay in software launching. As a result, two fault categories (low and high severity) are considered in this study, and two types of testing effort function (TEF) related to fault detection rate are presented to detect and fix them. Because parameters have such a large impact on model performance, their sensitivity is also investigated.

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Simulation of Software Reliability Growth Model Based on Fault Severity and Imperfect Debugging

Cited by 2 publications

References 27 publications

Reliability model of open source software considering fault introduction with generalized inflection S-shaped distribution

Reliability model of open source software considering fault introduction with generalized inflection S-shaped distribution

Enhancing Software Reliability Growth Modeling: Integrating Fault Severity Assessment with Multiple TEF

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