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A risk-based, value-oriented approach to quality requirements


Glinz, M (2008). A risk-based, value-oriented approach to quality requirements. IEEE Software, 25(2):34-41.

Abstract

Quality requirements, i.e. those requirements that pertain to a system's quality attributes, are traditionally regarded to be useful only when they are represented quantitatively so that they can be measured. This article presents a value-oriented approach to specifying quality requirements that deviates from the classic approach. This approach uses a broad range of potential representations that are selected on the basis of risk assessment. Requirements engineers select a quality requirement representation such that they get an optimal balance between mitigating the risk of developing a system that doesn't satisfy the stakeholders' desires and needs on the one hand and the cost of specifying the requirement in the selected representation on the other hand. This issue is part of a special issue on quality requirements.

Abstract

Quality requirements, i.e. those requirements that pertain to a system's quality attributes, are traditionally regarded to be useful only when they are represented quantitatively so that they can be measured. This article presents a value-oriented approach to specifying quality requirements that deviates from the classic approach. This approach uses a broad range of potential representations that are selected on the basis of risk assessment. Requirements engineers select a quality requirement representation such that they get an optimal balance between mitigating the risk of developing a system that doesn't satisfy the stakeholders' desires and needs on the one hand and the cost of specifying the requirement in the selected representation on the other hand. This issue is part of a special issue on quality requirements.

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33 citations in Scopus®
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Additional indexing

Item Type:Journal Article, refereed, original work
Communities & Collections:03 Faculty of Economics > Department of Informatics
Dewey Decimal Classification:000 Computer science, knowledge & systems
Language:English
Date:March 2008
Deposited On:11 Dec 2008 08:48
Last Modified:05 Apr 2016 12:40
Publisher:IEEE
ISSN:0740-7459
Additional Information:© 2008 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
Publisher DOI:https://doi.org/10.1109/MS.2008.31

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