Measurement of the Reliability of a Component-Based Development using a Path-Based Approach

Nautiyal, Lata; Gupta, Neena; Dimri, Sushil Chandra

doi:10.1145/2674632.2674641

Cited by 3 publications

(3 citation statements)

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“…Path-based methods employ all executed paths to model the system architecture and apply the reliabilities of all components in the path to represent path reliability. Then, they utilize the path reliabilities and path execution probabilities to calculate overall system reliability ( Hsu & Huang, 2011 ; Nautiyal, Gupta & Dimri, 2019 ). State-based methods usually map the system architecture into a state space model, such as the discrete-time Markov chain (DTMC) ( Cheung, 1980 ), continuous-time Markov chain ( Jean-Claude, 1984 ), or semi-Markov process ( Littlewood, 1979 ).…”

Section: Related Work and Research Motivationmentioning

confidence: 99%

Comprehensive evaluation of software system reliability based on component-based generalized G-O models

Yu-zhuo

Liu

Yuan

et al. 2023

PeerJ Computer Science

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The component-based software system has a core that is based on architecture design. Predicting the reliability growth trends of a software system in the early stages of the development process is conducive to reducing waste and loss caused by blind development. Restricted by the lack of information and data in the design and integration phase, it is difficult to implement reliability prediction research at this stage. In this article, we focus on a software system in which the reliability of each component follows the G-O model. First, two system-level parameters, which are the total number of system faults and the detection rate of the system faults, are defined. Then, by studying the relationship between the total number of faults and the detection rate of faults between the components and the system, the defined system parameters are calculated from the known component parameters. On this basis, and by incorporating the system parameters, we construct a reliability growth model for the software system, called the component-based generalized G-O model (CB-GGOM). Besides, two approximate models of CB-GGOM are proposed to facilitate reliability evaluation of the software system in the early and stable stages of the integration test. An engineering explanation of the proposed models is also provided, and their effectiveness is verified through simulation and with an authentic example. Since the proposed models are formulated without any integration test data, they are beneficial for developers to optimize test strategies of the software system and implement defect prevention in advance.

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Section: Related Work and Research Motivationmentioning

confidence: 99%

Comprehensive evaluation of software system reliability based on component-based generalized G-O models

Yu-zhuo

Liu

Yuan

et al. 2023

PeerJ Computer Science

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“…There are various methods available to measure the reliability of the system [24]. Here, we are not concerned about the method, what we only do is to convert the reliability to a number between 1 and 5.…”

Section: Reliabilitymentioning

confidence: 99%

Evaluating and Certifying Component-Based Software Using Weighted Assignment Technique

Nautiyal¹,

Preeti²

2016

IJHIT

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“…Although a large number of studies have been proposed by numerous authors for estimating error propagation among components of the system (Voas, 1997;Abdelmoez et al, 2004;Cortellessa and Grassi, 2007;Pham and Defago, 2013). However some authors do not consider it (Cheung, 1980;Reussner et al, 2003;Sharma and Trivedi, 2007;Cheung et al, 2008;Brosch et al, 2012;Nautiyal et al, 2014). They assume that the control transfer between components can be explained as a Markov process.…”

Section: Introductionmentioning

confidence: 99%

A Method for Considering Error Propagation in Reliability Estimation of Component-Based Software Systems

Malik¹,

Nautiyal²,

Ram³

2019

Int J Math, Eng, Manag Sci

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Component-based software engineering has proved itself as a strong pillar in software engineering community. Large number of factors are involved in the success of software product developed using Component-based software engineering, for instance, security, reliability, quality, safety, and testability. As the component-based software is made up of large number of components put together, therefore components’ reliability influence the reliability of the complete software. Numerous models and principles have been established to estimate the reliability of software by applying information regarding architecture, quality and security attributes of the software. Many researchers overlooked a major factor while estimating reliability of component-based software and that is error-propagation. Although it can be a case that the components are not dependent on each other and they are supplemented with the wrappers. However it is not true for many component-based applications. In this paper, a framework for reliability estimation has been proposed. In our proposal we have considered error propagation. We have analyzed the program structure and also presented how they are handled in estimation process. Further sensitivity analysis is done to identify the most sensitive component of the system. A numerical simulation is also presented for better understanding of the proposed framework.

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Measurement of the Reliability of a Component-Based Development using a Path-Based Approach

Cited by 3 publications

References 14 publications

Comprehensive evaluation of software system reliability based on component-based generalized G-O models

Comprehensive evaluation of software system reliability based on component-based generalized G-O models

Evaluating and Certifying Component-Based Software Using Weighted Assignment Technique

A Method for Considering Error Propagation in Reliability Estimation of Component-Based Software Systems

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