Modeling for Sustainability

Abstract : Various disciplines use models for different purposes. An engineering model, including a software engineering model, is often developed to guide the construction of a non-existent system. A scientific model is created to better understand a natural phenomenon (i.e., an already existing system). An engineering model may incorporate scientific models to build a system. Sustainability is an area that requires both types of models. Both engineering and scientific models have been used to support sustainability, but largely independently of one another. Due to the inherent complex nature of sustainability that must delicately balance trade-offs between social, environmental, and economic concerns, modeling challenges abound for both the scientific and engineering disciplines. This paper offers a vision that promotes a unique approach that combines engineering and scientific models to enable broader engagement of society for addressing sustainability concerns. We introduce a research roadmap to support this vision that emphasizes the socio-technical benefits of modeling.
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Communication dans un congrès
Modeling in Software Engineering 2016 (MiSE'16), 2016, Austin, United States. ACM, Modeling in Software Engineering 2016 (MiSE'16). 〈https://sselab.de/lab2/public/wiki/MiSE/〉
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Contributeur : Benoit Combemale <>
Soumis le : jeudi 3 mars 2016 - 09:05:52
Dernière modification le : mercredi 2 août 2017 - 10:06:32

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Distributed under a Creative Commons Paternité - Pas de modifications 4.0 International License

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  • HAL Id : hal-01185800, version 2

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Benoit Combemale, Betty H.C. Cheng, Ana Moreira, Jean-Michel Bruel, Jeff Gray. Modeling for Sustainability. Modeling in Software Engineering 2016 (MiSE'16), 2016, Austin, United States. ACM, Modeling in Software Engineering 2016 (MiSE'16). 〈https://sselab.de/lab2/public/wiki/MiSE/〉. 〈hal-01185800v2〉

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