The GRADE Decision Canvas for Classification and Reflection on Architecture Decisions

Efi Papatheocharous, Kai Petersen, Jakob Axelsson, Claes Wohlin, Jan Carlson, Federico Ciccozzi, Séverine Sentilles, Antonio Cicchetti

2017

Abstract

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.

Paper Citation

in Harvard Style

Papatheocharous E., Petersen K., Axelsson J., Wohlin C., Carlson J., Ciccozzi F., Sentilles S. and Cicchetti A. (2017). The GRADE Decision Canvas for Classification and Reflection on Architecture Decisions . In Proceedings of the 12th International Conference on Evaluation of Novel Approaches to Software Engineering - Volume 1: ENASE, ISBN 978-989-758-250-9, pages 187-194. DOI: 10.5220/0006301301870194

in Bibtex Style

@conference{enase17,
author={Efi Papatheocharous and Kai Petersen and Jakob Axelsson and Claes Wohlin and Jan Carlson and Federico Ciccozzi and Séverine Sentilles and Antonio Cicchetti},
title={The GRADE Decision Canvas for Classification and Reflection on Architecture Decisions},
booktitle={Proceedings of the 12th International Conference on Evaluation of Novel Approaches to Software Engineering - Volume 1: ENASE,},
year={2017},
pages={187-194},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006301301870194},
isbn={978-989-758-250-9},
}

in EndNote Style

TY - CONF
JO - Proceedings of the 12th International Conference on Evaluation of Novel Approaches to Software Engineering - Volume 1: ENASE,
TI - The GRADE Decision Canvas for Classification and Reflection on Architecture Decisions
SN - 978-989-758-250-9
AU - Papatheocharous E.
AU - Petersen K.
AU - Axelsson J.
AU - Wohlin C.
AU - Carlson J.
AU - Ciccozzi F.
AU - Sentilles S.
AU - Cicchetti A.
PY - 2017
SP - 187
EP - 194
DO - 10.5220/0006301301870194