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QREME – Quality requirements management model for supporting decision-making
RISE - Research Institutes of Sweden, ICT, SICS.ORCID iD: 0000-0002-2933-1925
Blekinge Institute of Technology, Sweden.
2018 (English)In: Part of the Lecture Notes in Computer Science book series (LNCS, volume 10753), 2018, p. 173-188Conference paper, Published paper (Refereed)
Abstract [en]

[Context and motivation] Quality requirements (QRs) are inherently difficult to manage as they are often subjective, context-dependent and hard to fully grasp by various stakeholders. Furthermore, there are many sources that can provide input on important QRs and suitable levels. Responding timely to customer needs and realizing them in product portfolio and product scope decisions remain the main challenge. [Question/problem] Data-driven methodologies based on product usage data analysis gain popularity and enable new (bottom-up, feedback-driven) ways of planning and evaluating QRs in product development. Can these be efficiently combined with established top-down, forward-driven management of QRs? [Principal idea/Results] We propose a model for how to handle decisions about QRs at a strategic and operational level, encompassing product decisions as well as business intelligence and usage data. We inferred the model from an extensive empirical investigation of five years of decision making history at a large B2C company. We illustrate the model by assessing two industrial case studies from different domains. [Contribution] We believe that utilizing the right approach in the right situation will be key for handling QRs, as both different groups of QRs and domains have their special characteristics.

Place, publisher, year, edition, pages
2018. p. 173-188
Keywords [en]
Non-functional requirements, Quality requirements, Requirements engineering, Requirements scoping, Computer software selection and evaluation, Information analysis, Different domains, Empirical investigation, Industrial case study, Product portfolios, Scoping, Usage data analysis, Decision making
National Category
Natural Sciences
Identifiers
URN: urn:nbn:se:ri:diva-34468DOI: 10.1007/978-3-319-77243-1_11Scopus ID: 2-s2.0-85043396113ISBN: 9783319772424 (print)OAI: oai:DiVA.org:ri-34468DiVA, id: diva2:1238287
Conference
International Working Conference on Requirements Engineering: Foundation for Software Quality REFSQ 2018: Requirements Engineering: Foundation for Software Quality. 19 March 2018 through 22 March 2018
Note

Funding details: 20150033; Funding details: Sweden-America Foundation;

Available from: 2018-08-13 Created: 2018-08-13 Last updated: 2019-01-28Bibliographically approved

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Olsson, Thomas

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  • apa
  • harvard1
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  • Other locale
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