Modeling for sustainability

Abstract : Various disciplines use models for different purposes. While engineering models, including software engineering models, are often developed to guide the construction of a non- existent system, scientific models, in contrast, are created to better understand a natural phenomenon (i.e., an already existing system). An engineering model may incorporate scientific models to build a system. Both engineering and scientific models have been used to support sustainability, but largely in a loosely-coupled fashion, independently de- veloped and maintained from each other. Due to the in- herent complex nature of sustainability that must balance trade-offs between social, environmental, and economic con- cerns, modeling challenges abound for both the scientific and engineering disciplines. This paper offers a vision that synergistically combines engineering and scientific models to enable broader engagement of society for addressing sustain- ability concerns, informed decision-making based on more- accessible scientific models and data, and automated feed- back to the engineering models to support dynamic adap- tation of sustainability systems. To support this vision, we identify a number of research challenges to be addressed with particular emphasis on the socio-technical benefits of modeling.
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Communication dans un congrès
8th IEEE/ACM International Workshop on Modeling in Software Engineering (MiSE 2016), May 2016, Austin, Texas, United States. MiSE '16: Proceedings of the 8th International Workshop on Modeling in Software Engineering, pp. 62-66, 2016
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  • HAL Id : hal-01517387, version 1
  • OATAO : 17009

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Benoit Combemale, Betty Cheng, Ana Moreira, Jean-Michel Bruel, Jeff Gray. Modeling for sustainability. 8th IEEE/ACM International Workshop on Modeling in Software Engineering (MiSE 2016), May 2016, Austin, Texas, United States. MiSE '16: Proceedings of the 8th International Workshop on Modeling in Software Engineering, pp. 62-66, 2016. 〈hal-01517387〉

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