Towards Model-Driven Sustainability Evaluation

Jörg Kienzle, Gunter Mussbacher, Benoit Combemale, Lucy Bastin, Nelly Bencomo, Jean-Michel Bruel, Christoph Becker, Stefanie Betz, Ruzanna Chitchyan, Betty Cheng, Sonja Klingert, Richard F. Paige, Birgit Penzenstadler, Norbert Seyff, Eugene Syriani, Colin Venters

Research output: Contribution to journalArticle

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.
Original languageEnglish
Number of pages10
JournalCommunications of the ACM
Publication statusAccepted/In press - 24 May 2019

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Sustainable development
Data visualization
Adaptive systems
Decision making
Industry

Bibliographical note

© 2019 The Authors

Keywords

  • Sustainability
  • model-driven engineering
  • model-driven evaluation

Cite this

Kienzle, J., Mussbacher, G., Combemale, B., Bastin, L., Bencomo, N., Bruel, J-M., ... Venters, C. (Accepted/In press). Towards Model-Driven Sustainability Evaluation. Communications of the ACM.
Kienzle, Jörg ; Mussbacher, Gunter ; Combemale, Benoit ; Bastin, Lucy ; Bencomo, Nelly ; Bruel, Jean-Michel ; Becker, Christoph ; Betz, Stefanie ; Chitchyan, Ruzanna ; Cheng, Betty ; Klingert, Sonja ; Paige, Richard F. ; Penzenstadler, Birgit ; Seyff, Norbert ; Syriani, Eugene ; Venters, Colin. / Towards Model-Driven Sustainability Evaluation. In: Communications of the ACM. 2019.
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Kienzle, J, Mussbacher, G, Combemale, B, Bastin, L, Bencomo, N, Bruel, J-M, Becker, C, Betz, S, Chitchyan, R, Cheng, B, Klingert, S, Paige, RF, Penzenstadler, B, Seyff, N, Syriani, E & Venters, C 2019, 'Towards Model-Driven Sustainability Evaluation', Communications of the ACM.

Towards Model-Driven Sustainability Evaluation. / Kienzle, Jörg; Mussbacher, Gunter; Combemale, Benoit; Bastin, Lucy; Bencomo, Nelly; Bruel, Jean-Michel; Becker, Christoph ; Betz, Stefanie; Chitchyan, Ruzanna; Cheng, Betty; Klingert, Sonja; Paige, Richard F.; Penzenstadler, Birgit; Seyff, Norbert; Syriani, Eugene; Venters, Colin.

In: Communications of the ACM, 24.05.2019.

Research output: Contribution to journalArticle

TY - JOUR

T1 - Towards Model-Driven Sustainability Evaluation

AU - Kienzle, Jörg

AU - Mussbacher, Gunter

AU - Combemale, Benoit

AU - Bastin, Lucy

AU - Bencomo, Nelly

AU - Bruel, Jean-Michel

AU - Becker, Christoph

AU - Betz, Stefanie

AU - Chitchyan, Ruzanna

AU - Cheng, Betty

AU - Klingert, Sonja

AU - Paige, Richard F.

AU - Penzenstadler, Birgit

AU - Seyff, Norbert

AU - Syriani, Eugene

AU - Venters, Colin

N1 - © 2019 The Authors

PY - 2019/5/24

Y1 - 2019/5/24

N2 - 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.

AB - 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.

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KW - model-driven engineering

KW - model-driven evaluation

M3 - Article

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Kienzle J, Mussbacher G, Combemale B, Bastin L, Bencomo N, Bruel J-M et al. Towards Model-Driven Sustainability Evaluation. Communications of the ACM. 2019 May 24.