Fuzzy optimization approach to component selection of fault-tolerant software system

Jha, P. C.; Bali, Shivani; Kumar, Uday; Pham, Hoang

doi:10.1007/s12293-013-0116-4

Cited by 7 publications

(11 citation statements)

References 14 publications

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“…Moreover, the literature suggests three ways of supporting this decisions: (cf. [5]): (1) Models to support the decision making, such as optimization models to maximize the reliability with constraints on time and cost [6,7,8]; (2) Proposals of criteria that have to be considered [1,9,10]; (3) Comparisons of the alternative CSOs with respect to [10,11,12,13] decision outcomes such as time, cost, and effort. We argue that, beyond these contributions, other aspects play an important role.…”

Section: Introductionmentioning

confidence: 99%

Choosing Component Origins for Software Intensive Systems: In-House, COTS, OSS or Outsourcing?—A Case Survey

Petersen

Badampudi

Shah

et al. 2018

IIEEE Trans. Software Eng.

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Section: Introductionmentioning

confidence: 99%

Choosing Component Origins for Software Intensive Systems: In-House, COTS, OSS or Outsourcing?—A Case Survey

Petersen

Badampudi

Shah

et al. 2018

IIEEE Trans. Software Eng.

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“…The optimization models proposed in [9,10,17,18,27,34] help to decide which components should be developed in-house and which should be bought. Cost, delivery time, and reliability are the common objectives and constraints considered in all the proposed optimization models.…”

Section: Deciding On Originmentioning

confidence: 99%

“…Multi-objective optimization models have been proposed in [17,18]. A decision model for fault-tolerant systems is proposed in [15,17] with two objectives -to maximize reliability and minimize cost under a time constraint.…”

Section: Deciding On Originmentioning

confidence: 99%

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Supporting Strategic Decision-Making for Selection of Software Assets

Wohlin

Wnuk

Šmite

et al. 2016

Lecture Notes in Business Information Processing

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Abstract. Companies developing software are constantly striving to gain or keep their competitive advantage on the market. To do so, they should balance what to develop themselves and what to get from elsewhere, which may be software components or software services. These strategic decisions need to be aligned with business objectives and the capabilities and constraints of possible options. These sourcing options include: in-house, COTS, open source and outsourcing. The objective of this paper is to present an approach to support decision-makers in selecting appropriate types of origins in a specific case that maximizes the benefits of the selected business strategy. The approach consists of three descriptive models, as well as a decision process and a knowledge repository. The three models are a decision model that comprises three cornerstones (stakeholders, origins and criteria) and is based on a taxonomy for formulating decision models in this context, and two supporting models (property models and context models).

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“…This paper puts forward a performance quantification method of a component system. Component-Based Software Development (CBSD) has been an important area of research for almost three decades [15,16]. CBSD avoids duplication of effort, reduces the development cost and improves productivity [17,18].…”

Section: Introductionmentioning

confidence: 99%

The Performance Quantitative Model Based on the Specification and Relation of the Component

2019

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The trustworthiness of software is crucial to some safety critical areas. Performance is an important attribute of software trustworthiness. Software component technology is the mainstream technology of software development. How to achieve the performance of component systems efficiently and accurately is a challenging issue for component-based software development. In this paper, the performance quantification method of the component is proposed. First, performance specification is formally defined. Second, a refinement relation is introduced and the performance quantification method of the component system is presented. Finally, a case study is given to illustrate the effectiveness of the method.

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Fuzzy optimization approach to component selection of fault-tolerant software system

Cited by 7 publications

References 14 publications

Choosing Component Origins for Software Intensive Systems: In-House, COTS, OSS or Outsourcing?—A Case Survey

Choosing Component Origins for Software Intensive Systems: In-House, COTS, OSS or Outsourcing?—A Case Survey

Supporting Strategic Decision-Making for Selection of Software Assets

The Performance Quantitative Model Based on the Specification and Relation of the Component

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