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Research preview: Prioritizing quality requirements based on software architecture evaluation feedback


Koziolek, Anne (2012). Research preview: Prioritizing quality requirements based on software architecture evaluation feedback. In: 18th International Working Conference on Requirements Engineering: Foundation for Software Quality, Essen, Germany, 19 March 2012 - 22 March 2012. Springer, 52-58.

Abstract

Context and motivation Quality requirements are a main driver for architectural decisions of software systems. Although the need for iterative handling of requirements and architecture has been identified, current architecture design processes do not provide systematic, quantitative feedback for the prioritization and cost/benefit considerations for quality requirements. Question/problem Thus, in practice stakeholders still often state and prioritize quality requirements before knowing the software architecture, i.e. without knowledge about the quality dependencies, conflicts, incurred costs, and technical feasibility. However, as quality properties usually are cross-cutting architecture concerns, estimating the effects of design decisions is difficult. Thus, stakeholders cannot reliably know the appropriate required level of quality. Principal ideas/results In this research proposal, we suggest an approach to generate feedback from quantitative architecture evaluation to requirements engineering, in particular to requirements prioritization. We propose to use automated design space exploration techniques to generate information about available trade-offs. Final quality requirement prioritization is deferred until first feedback from architecture evaluation is available. Contribution In this paper, we present the process model of our approach enabling feedback to requirement prioritization and describe application scenarios and an example.

Abstract

Context and motivation Quality requirements are a main driver for architectural decisions of software systems. Although the need for iterative handling of requirements and architecture has been identified, current architecture design processes do not provide systematic, quantitative feedback for the prioritization and cost/benefit considerations for quality requirements. Question/problem Thus, in practice stakeholders still often state and prioritize quality requirements before knowing the software architecture, i.e. without knowledge about the quality dependencies, conflicts, incurred costs, and technical feasibility. However, as quality properties usually are cross-cutting architecture concerns, estimating the effects of design decisions is difficult. Thus, stakeholders cannot reliably know the appropriate required level of quality. Principal ideas/results In this research proposal, we suggest an approach to generate feedback from quantitative architecture evaluation to requirements engineering, in particular to requirements prioritization. We propose to use automated design space exploration techniques to generate information about available trade-offs. Final quality requirement prioritization is deferred until first feedback from architecture evaluation is available. Contribution In this paper, we present the process model of our approach enabling feedback to requirement prioritization and describe application scenarios and an example.

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Additional indexing

Item Type:Conference or Workshop Item (Paper), refereed, original work
Communities & Collections:03 Faculty of Economics > Department of Informatics
Dewey Decimal Classification:000 Computer science, knowledge & systems
Scopus Subject Areas:Physical Sciences > Theoretical Computer Science
Physical Sciences > General Computer Science
Language:English
Event End Date:22 March 2012
Deposited On:29 Jan 2013 09:53
Last Modified:23 Jan 2022 23:45
Publisher:Springer
Series Name:Lecture Notes in Computer Science
Number:7195
ISSN:0302-9743
ISBN:978-3-642-28714-5
Additional Information:The original publication is available at www.springerlink.com
OA Status:Green
Publisher DOI:https://doi.org/10.1007/978-3-642-28714-5_5
Other Identification Number:merlin-id:7186
  • Content: Accepted Version