An approach for software reliability model selection

Asad, C.A.; Ullah, M.I.; Rehman, Muhammad Jaffar-Ur

doi:10.1109/cmpsac.2004.1342891

Cited by 31 publications

(23 citation statements)

References 10 publications

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“…• Each model's parameter is calculated based on failure data, and is applied to the model, and then the specific model is got. According to the specific model, the evaluation indexes of the models are calculated, including model goodness of fit, prequential likelihood, model bias, model bias trend, and model noise [2][7]. • The single-index measure function is constructed based on unascertaied set, and then the single-index measure evaluation matrix is computed.…”

Section: Software Reliability Model Selection Methods Based On Unmentioning

confidence: 99%

Automation Software Reliability Model Selection Based on Unascertained Set

Liu

Yanfen

2009

2009 International Conference on Information Management, Innovation Management and Industrial Engineering

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Obvious inconsistencies are always appeared in applying software reliability model. So it has become a very important field to choose the good-adaptability model from the existing models. This paper describes the unascertained-based software reliability model selection, and at this basis, an automated tool for selecting reliability model, SRMSS, is proposed. After the basic design method of the tool is given, an example is given to describe the specific application of the SRMSS.

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Section: Software Reliability Model Selection Methods Based On Unmentioning

confidence: 99%

Automation Software Reliability Model Selection Based on Unascertained Set

Liu

Yanfen

2009

2009 International Conference on Information Management, Innovation Management and Industrial Engineering

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“…The classification of models according to phase of life cycle is shown in Figure 1 along with the names of the representative models for each category [11]. …”

Section: A Life Cycle Phasementioning

confidence: 99%

A dynamically-weighted software reliability combination model

Wu¹,

Han²,

He³

et al. 2012

2012 International Conference on Quality, Reliability, Risk, Maintenance, and Safety Engineering

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In this paper, a dynamically-weighted software reliability combination model is proposed, aiming at improving predictive quality. The process of forming the combination model includes selection of component models and determination of weight assignment. Criteria for selecting component models include life cycle phase, trend exhibited by failure data, validity of model assumptions and predictive biases of model. The method of determining weights of component models is based prequential likelihood. A set of failure data is introduced for validation, the result of which implies that the prediction given by the combination model is more dependable than single model.

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“…The methods and needs of software reliability appraisal and prediction vary by the phase of software development lifecycle [12,16].…”

Section: Reliability and The Software Lifecyclementioning

confidence: 99%

Review on Software Reliability Growth Models and Software Release Planning

Upadhyay¹,

Johri²

2013

IJCA

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In this paper, Software Reliability Engineering is a field that developed from ancestry in the reliability disciplines of structural, electrical, and hardware engineering. Reliability models are powerful tools of Software Reliability Engineering for estimating, predicting, devious, and assessing software reliability. On the basis of the review the cataloging of software reliability models has been presented as a major part. This categorization is based on the various dimensions of reliability models. Models under review reflect either infinite or finite number of failures. This paper discusses a twodimensional software reliability growth modeling framework. We measured that an actual software reliability growth progression depends not only on testing time but also on testing effort and also enables us to portray software release planning problem in software reliability growth process. Thus, we can say that software project managers can demeanor more viable and accurate software reliability appraisal by using two-dimensional SRGM. General TermsSRGM(Software Reliability Growth Model), Software Release Planning.

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An approach for software reliability model selection

Cited by 31 publications

References 10 publications

Automation Software Reliability Model Selection Based on Unascertained Set

Automation Software Reliability Model Selection Based on Unascertained Set

A dynamically-weighted software reliability combination model

Review on Software Reliability Growth Models and Software Release Planning

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