Towards Model-Driven Sustainability Evaluation

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

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

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

In: Communications of the ACM, 24.05.2019.

Research output: Contribution to journalArticle

TY - JOUR

T1 - Towards Model-Driven Sustainability Evaluation

AU - Kienzle, Jorg

AU - Mussbacher, Gunter

AU - Bastin, Lucy

AU - Becker, Christoph

AU - Bencomo, Nelly

AU - Betz, Stefanie

AU - Bruel, Jean-Michel

AU - Cheng, Betty H. C.

AU - Chitchyan, Ruzanna

AU - Combemale, Benoıt

AU - Klingert, Sonja

AU - Paige, Richard F.

AU - Penzenstadler, Birgit

AU - Seyff, Norbert

AU - Syriani, Eugene

AU - Venters, Colin C.

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.

KW - Sustainability

KW - Sustainability design

KW - Sustainability requirements

KW - Model-Driven Engineering

KW - Model-Driven Evaluation

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T2 - Communications of the ACM

JF - Communications of the ACM

SN - 0001-0782

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Kienzle J, Mussbacher G, Bastin L, Becker C, Bencomo N, Betz S et al. Towards Model-Driven Sustainability Evaluation. Communications of the ACM. 2019 May 24.