Tradeoff and Sensitivity Analysis of a Hybrid Model for Ranking Commercial Off-the-Shelf Products

Moustapha, Moustapha E.; Far, Behrouz H.; Eberlein, Armin

doi:10.1109/ecbs.2009.47

Cited by 5 publications

(5 citation statements)

References 11 publications

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“…The belief in a COTS candidate node represents the confidence of evaluators about how much this candidate satisfies the evaluation criteria. More details about how the BBN model is used in a digital library example can be found in [18][19][20]. Table 1 summarizes results achieved when using the BBN model in the digital library example.…”

Section: Modeling and Analysis Phasementioning

confidence: 97%

Uncertainty management in software engineering: Past, present, and future

Moustapha

Far

Eberlein

et al. 2009

2009 Canadian Conference on Electrical and Computer Engineering

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Software development has significantly matured in the last decade. However, one of the critical challenges today is uncertainty inherent to every aspect of software development including requirement specifications, design, coding, and testing. In this paper, we propose a framework for uncertainty management in software engineering. The framework is used to model uncertainty inherent to software development activities and manage their consequences. The framework consists of four main phases: identification and prioritization, modeling and analysis, management and planning, and monitoring and evaluation. Commercial OffThe-Shelf (COTS)-based development is selected as an example to illustrate how the proposed framework is used in a simple but intuitive case study to represent uncertainty and manage its consequences.

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Section: Modeling and Analysis Phasementioning

confidence: 97%

Uncertainty management in software engineering: Past, present, and future

Moustapha

Far

Eberlein

et al. 2009

2009 Canadian Conference on Electrical and Computer Engineering

Self Cite

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“…Saltelli et al (2008) introduced the concept of sensitivity analysis which provides the basis for obtaining the useful information about the selection parameters which can contribute up to a large extent to the uncertainties in the output of the model. Ibrahim et al (2009) present a hybrid approach for the selection and evaluation of COTS components by combining two approaches as analytical hierarchy processing and the bayesian-belief network and the selection criteria uncertainty was considered in this research.…”

Section: C2mentioning

confidence: 99%

“…uncertainty, information lack, standards etc. ; (Gashi et al, 2007;Mohamed et al, 2007;Ziv et al, 1997;Mead, 2008;Ibrahim et al, 2008Ibrahim et al, , 2009). The software developed by adopting the component based Software engineering approach is generally the integration of commercial off the shelf (COTS) components provided by various vendors that fulfill the desired technical and nontechnical requirements of the target system.…”

Section: Introductionmentioning

confidence: 99%

Ranking and selection of commercial off-the-shelf using fuzzy distance based approach

Garg¹,

Sharma²,

Sharma³

2016

10.5267/j.dsl

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“…Probabilistic techniques like Bayesian belief network (BBN) can be utilized for this purpose. BBN has been used in the literature as a decision making (and often decision support) tool for representing and reasoning with uncertain knowledge (Fenton, 2001) (Fenton, 1999) (Shirazi, 2009) (Heckerman, 1997) (Ibrahim, 2009) (Fineman, 2009).…”

Section: Introductionmentioning

confidence: 99%

Decision Support System for Cost-Benefit Analysis in Service Provision

Livani

Paikari

Ruhe

2011

Proceedings of the 13th International Conference on Enterprise Information Systems

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Cost-benefit analysis is an approach to relate effort and cost of an activity to the resulting benefit. In this paper a novel decision support system for cost-benefit analysis in the context of service provision is proposed. Four decision support scenarios are investigated: (i) analyzing the impact of the services on cost and benefit, (ii) sensitivity analysis for the system variables, (iii) goal-seek analysis, and (iv) analyzing the impact of the services on operational resources. The key engine of the analysis approach is a Bayesian Belief Network (BBN). The BBN incorporates the key incoming, control and outgoing service parameters as well as their probabilistic relationships. In the sense of a hierarchical system, the variation of some of the parameters is guided by the results of optimizing operational resources being some of the BBN parameters. We've evaluated the framework in a case study with the City of Calgary's Waste and Recycling Services. The results showed that using such a DSS facilitates the decision making process and improves the overall cost-benefit ratio. DECISION SUPPORT SYSTEM FOR COST-BENEFIT ANALYSIS IN SERVICE PROVISION.

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Tradeoff and Sensitivity Analysis of a Hybrid Model for Ranking Commercial Off-the-Shelf Products

Cited by 5 publications

References 11 publications

Uncertainty management in software engineering: Past, present, and future

Uncertainty management in software engineering: Past, present, and future

Ranking and selection of commercial off-the-shelf using fuzzy distance based approach

Decision Support System for Cost-Benefit Analysis in Service Provision

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