Modelling reliability growth for multi‐version open source software considering varied testing and debugging factors

Saraf, Iqra; Iqbal, Javaid; Shrivastava, Avinash K.; Khurshid, Shozab

doi:10.1002/qre.3048

Cited by 14 publications

(7 citation statements)

References 52 publications

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“…Gao, Cui and Dong studied the reliability modeling of the single change point two-stage degradation system based on the Wiener process (Gao et al , 2020). Khurshid et al (2021), Saraf et al (2022) and Chatterjee et al (2021) applied the change point analysis and fuzzy goal programming approach to the software reliability growth evaluation respectively.…”

Section: Current Reliability Growth Modelsmentioning

confidence: 99%

On general uncertainty data and general uncertainty variable for reliability growth analysis of major aerospace equipment

Liu

Tang

2022

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PurposeThe purpose of this paper is to explore new ways and lay a solid foundation to solve the problem of reliability growth analysis of major aerospace equipment with various uncertainty data through propose new concepts of general uncertainty data (GUD) and general uncertainty variable (GUV) and build the operation system of GUVs.Design/methodology/approachThe characteristics of reliability growth data of major aerospace equipment and the limitations of current reliability growth models have been analyzed at first. The most commonly used uncertainty system analysis methods of probability statistics, fuzzy mathematics, grey system theory and rough set theory have been introduced. The concepts of GUD and GUV for reliability growth data analysis of major aerospace equipment are proposed. The simplified form of GUV based on the “kernel” and the degree of uncertainty of GUV is defined. Then an operation system of GUVs is built.Findings(1) The concept of GUD; (2) the concept of GUV; (3) The novel operation rules of GUVs with simplified form.Practical implicationsThe method exposed in this paper can be used to integrate complex reliability growth data of major aerospace equipment. The reliability growth models based on GUV can be built for reliability growth evaluation and forecasting of major aerospace equipment in practice. The reliability evaluation example of a solid rocket motor shows that the concept and idea proposed in this paper are feasible. The research of this paper opens up a new way for the analysis of complex uncertainty data of reliability growth of major aerospace equipment. Moreover, the operation of GUVs could be extended to the case of algebraic equation, differential equation and matrix which including GUVs.Originality/valueThe new concepts of GUD and GUV are given for the first time. The novel operation rules of GUVs with simplified form were constructed.

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Section: Current Reliability Growth Modelsmentioning

confidence: 99%

On general uncertainty data and general uncertainty variable for reliability growth analysis of major aerospace equipment

Liu

Tang

2022

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“…Therefore, they proposed a multi-release OSS reliability model based on the changing point. Saraf et al [ 37 ] proposed several OSS reliability models considering changing points and ID. Diwakar and Aggarwa [ 38 ] considered that faults in the current version comprise two parts.…”

Section: Related Workmentioning

confidence: 99%

Software reliability model of open source software based on the decreasing trend of fault introduction

2022

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Open source software (OSS) has become one of the modern software development methods. OSS is mainly developed by developers, volunteers, and users all over the world, but its reliability has been widely questioned. When OSS faults are detected, volunteers or users send them to developers by email or network. After the developer confirms the fault, it will be randomly assigned to the debugger who may be a developer, a volunteer, or a user. These open source community contributors also have the phenomenon of learning when removing faults. When the detected faults are removed, the number of introduced faults decreases gradually. Therefore, this study proposes a software reliability model with the decreasing trend of fault introduction in the process of OSS development and testing. The validity of the proposed model and the accuracy of estimating residual faults are verified by experiments. The proposed model can be used to evaluate the reliability and predict the remaining faults in the actual OSS development and testing process.

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“…Considering the complexity of fault detection during software development and tests, Raghuvanshi et al [42] established a time-variant software reliability model. In addition, considering the dynamic changes of OSS testing and development processes, Saraf et al [43]. developed multi-release reliability models with imperfect debugging and change-point for OSS.…”

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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Modelling reliability growth for multi‐version open source software considering varied testing and debugging factors

Cited by 14 publications

References 52 publications

On general uncertainty data and general uncertainty variable for reliability growth analysis of major aerospace equipment

On general uncertainty data and general uncertainty variable for reliability growth analysis of major aerospace equipment

Software reliability model of open source software based on the decreasing trend of fault introduction

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

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