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The GRADE Decision Canvas for Classification and Reflection on Architecture Decisions
University of Cyprus , Nicosia.
Blekinge Institute of Technology, Sweden.
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.ORCID iD: 0000-0002-3986-1196
Blekinge Institute of Technology, Sweden.
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2017 (English)In: 12th International Conference on Evaluation of Novel Approaches to Software Engineering ENASE17, 2017, p. 187-194Conference paper, Published paper (Refereed)
Abstract [en]

This paper introduces a decision canvas for capturing architecture decisions in software and systems engineer- ing. 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 re- flect 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. p. 187-194
Keywords [en]
Software engineering, architecture knowledge, decision documentation, decision canvas, decision template
National Category
Computer Systems
Identifiers
URN: urn:nbn:se:mdh:diva-35496DOI: 10.5220/0006301301870194ISI: 000700313100017Scopus ID: 2-s2.0-85025451151ISBN: 9789897582509 (print)OAI: oai:DiVA.org:mdh-35496DiVA, id: diva2:1107587
Conference
12th International Conference on Evaluation of Novel Approaches to Software Engineering ENASE17, 28 Apr 2017, Porto, Portugal
Projects
ORION - Decision Support for Component-Based Software Engineering of Cyber-Physical SystemsAvailable from: 2017-06-09 Created: 2017-06-09 Last updated: 2021-11-04Bibliographically approved

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Axelsson, JakobCarlson, JanCiccozzi, FedericoSentilles, SéverineCicchetti, Antonio

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Citation style
  • apa
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