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The GRADE decision canvas for classification and reflection on architecture decisions
RISE - Research Institutes of Sweden, ICT, SICS.
Blekinge Institute of Technology, Sweden.
RISE - Research Institutes of Sweden, ICT, SICS.
Blekinge Institute of Technology, Sweden.
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2017 (English)In: ENASE 2017 - Proceedings of the 12th International Conference on Evaluation of Novel Approaches to Software Engineering, 2017, 187-194 p.Conference paper, Published paper (Refereed)
Abstract [en]

This paper introduces a decision canvas for capturing architecture decisions in software and systems engineering. The canvas leverages a dedicated taxonomy, denoted GRADE, meant for establishing the basics of the vocabulary for assessing and choosing architectural assets in the development of software-intensive systems. The canvas serves as a template for practitioners to discuss and document architecture decisions, i.e., capture, understand and communicate decisions among decision-makers and to others. It also serves as a way to reflect on past decision-making activities devoted to both tentative and concluding decisions in the development of software-intensive systems. The canvas has been assessed by means of preliminary internal and external evaluations with four scenarios. The results are promising as the canvas fulfills its intended objectives while satisfying most of the needs of the subjects participating in the evaluation.

Place, publisher, year, edition, pages
2017. 187-194 p.
Keyword [en]
Architecture knowledge, Decision canvas, Decision documentation, Decision template, Software engineering, Decision making, Software architecture, Architecture decisions, Decision makers, Document architecture, Software and systems engineerings, Software intensive systems, Software design
National Category
Computer and Information Science
Identifiers
URN: urn:nbn:se:ri:diva-31168Scopus ID: 2-s2.0-85025451151ISBN: 9789897582509 OAI: oai:DiVA.org:ri-31168DiVA: diva2:1135618
Conference
12th International Conference on Evaluation of Novel Approaches to Software Engineering, ENASE 2017, 28 April 2017 through 29 April 2017
Available from: 2017-08-23 Created: 2017-08-23 Last updated: 2017-08-23Bibliographically approved

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