Reliability of Component-Based Systems – A Review

Yadav, Shivani; Kishan, Bal

doi:10.30534/ijatcse/2019/31822019

Cited by 2 publications

(2 citation statements)

References 16 publications

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“…For making a reliability prediction model, components should be chosen very carefully according to the requirements. [100,101,102] When treating some quality characteristics it is important to know how to obtain them i.e. how to build software to attain the highest degree of stakeholder satisfaction.…”

Section: Assessment Of Software Quality Model and Their Quality Parameters Related To Cbsmentioning

confidence: 99%

Analysis and Assessment of Existing Software Quality Models to Predict the Reliability of Component-Based Software

Yadav¹

2020

IJETER

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Software engineering is an approach pre-owned by the researchers and innovators to reduce the ratio of crisis in software. Therefore the designer/ innovator can readily design a valuable quality software, by using various approaches like Component-Based Software Engineering (CBSE). The components quality has a high impact on the quality of a whole application. Several quality models for CBSE and Component-Off-The-Shelf (COTS) are available in the literature so this paper presents various quality models with defined parameters for quality prediction. Several models, like, Boehm's, McCall's, FURPS, ISO 9126, Dromey's, have been developed for quality evaluation using hierarchically related characteristics of quality indicators. Over the years, some models have been developed for structuring software quality for software. Nowadays, researchers are showing their passion for innovation in the area of software reliability. The reliability of a software component relies on the following factors like the reliability of services, environment frequency so finally this paper presents the analysis and assessment of software quality models and their quality parameters for CBS by going through various researchers and practitioners' work.

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Section: Assessment Of Software Quality Model and Their Quality Parameters Related To Cbsmentioning

confidence: 99%

Analysis and Assessment of Existing Software Quality Models to Predict the Reliability of Component-Based Software

Yadav¹

2020

IJETER

Self Cite

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“…Any changes to the services of a component require the same set of processes to be re-run for the re-examination of the system. To overcome the time challenge, developers are prone to accepting the first working solution instead of running the same configuration over a range of components to find the optimal component [4][5][6]. These choices can often affect system performance and product design.…”

Section: Introductionmentioning

confidence: 99%

Component-Based Software System using Computational Intelligence Technique for Reliability Prediction

Yadav¹

2020

IJATCSE

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Software developers and companies are working to create reliable software for their users. This has resulted in the need for enhancing predictive software quality models for risk-less software development based on the type of software. Development and testing costs can be reduced by reusing existing codes and components. Re-use of components results in increased productivity, quality, and maintainability of the software as iterations are made for incremental changes, new developments altogether, and reducing development cost, time, effort. Component-based software systems along with soft computing techniques should be used for having more reliable software. With the increase in demand for software quality prediction, several techniques have been used to predict software quality. The focus of this paper is on the software product's quality; metrics and we thoroughly review the literature of existing computational intelligence/soft computing techniques and analyze the findings according to the techniques. We have discussed models for software quality prediction for component-based software and computational intelligence techniques which are widely prevalent for software quality prediction and compare different techniques. In our study, we have done a comparative analysis of soft computing techniques. This study will help the other researchers to study and understand which technique would be more helpful in making the software reliability prediction model for component-based software by combining different computational techniques.

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Reliability of Component-Based Systems – A Review

Cited by 2 publications

References 16 publications

Analysis and Assessment of Existing Software Quality Models to Predict the Reliability of Component-Based Software

Analysis and Assessment of Existing Software Quality Models to Predict the Reliability of Component-Based Software

Component-Based Software System using Computational Intelligence Technique for Reliability Prediction

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