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Towards Model-Driven Sustainability Evaluation

Jörg Kienzle 1 Gunter Mussbacher 1 Benoit Combemale 2, 3 Lucy Bastin 4 Nelly Bencomo 4 Jean-Michel Bruel 3, 5 Christoph Becker 6 Stefanie Betz 7 Ruzanna Chitchyan 8 Betty Cheng 9 Sonja Klingert 10 Richard Paige 11 Birgit Penzenstadler 12 Norbert Seyff 13 Eugene Syriani 14 Colin Venters 15
1 McGill University = Université McGill [Montréal, Canada]
2 DiverSe - Diversity-centric Software Engineering
Inria Rennes – Bretagne Atlantique , IRISA-D4 - LANGAGE ET GÉNIE LOGICIEL
3 IRIT-SM@RT - Smart Modeling for softw@re Research and Technology
IRIT - Institut de recherche en informatique de Toulouse
4 Aston University [Birmingham]
5 UT2J - Université Toulouse - Jean Jaurès
6 University of Toronto
7 HFU - Hochschule Furtwangen University [Furtwangen]
8 Computing Department [Lancaster]
9 Michigan State University [East Lansing]
10 Universität Mannheim [Mannheim]
11 McMaster University - Department of Computing and Software
12 CSULB - California State University [Long Beach]
13 UZH - Universität Zürich [Zürich] = University of Zurich
14 DIRO - Département d'Informatique et de Recherche Opérationnelle [Montreal]
15 University of Huddersfield
Abstract : Sustainability has emerged as a concern of central relevance. As a wicked problem, it poses challenges to business-as-usual in many areas, including that of modeling. This article addresses a question at the intersection of model-driven engineering and sustainability research: "How can we better support sustainability by bringing together model-driven engineering, data, visualization and self-adaptive systems, to facilitate engagement, exploration, and understanding of the effects that individual and organizational choices have on sustainability?" We explore this question via an idealized vision of an evaluation environment that facilitates integration and mapping of models from multiple diverse sources, visual exploration, and evaluation of what-if scenarios, for stakeholders with divergent perspectives. The article identifies research challenges to be addressed to enable decision making to support sustainability and provides a map of sustainability modeling issues across disciplines.
Keywords : Sustainability model-driven engineering model-driven evaluation
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https://hal.inria.fr/hal-02146543
Contributor : Benoit Combemale Connect in order to contact the contributor
Submitted on : Saturday, June 15, 2019 - 9:36:05 PM
Last modification on : Thursday, January 20, 2022 - 4:20:52 PM

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UNIV-TLSE3 | UNIV-RENNES1 | CNRS | SMS | UNIV-TLSE2 | CENTRALESUPELEC | IRISA | INRIA | UNIV-RENNES | UR1-MATH-STIC | UR1-UFR-ISTIC | UT1-CAPITOLE | INSA-RENNES | UR1-MATH-NUM | IRIT-SMART | IRIT-FSL | IRIT | IRIT-UT2J

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Jörg Kienzle, Gunter Mussbacher, Benoit Combemale, Lucy Bastin, Nelly Bencomo, et al.. Towards Model-Driven Sustainability Evaluation. Communications of the ACM, Association for Computing Machinery, 2020, 63 (3), pp.80-91. ⟨10.1145/3371906⟩. ⟨hal-02146543v2⟩

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