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 developed and maintained from each other. Due to the inherent complex nature of sustainability that must 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 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 adaptation 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.
Original language | English |
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Title of host publication | Proceedings - 8th International Workshop on Modeling in Software Engineering, MiSE 2016 |
Publisher | Association for Computing Machinery, Inc |
Pages | 62-66 |
Number of pages | 5 |
ISBN (Electronic) | 978-1-4503-4164-6 |
DOIs | |
Publication status | Published - 14 May 2016 |
Event | 8th International Workshop on Modeling in Software Engineering, MiSE 2016 - Austin, United States Duration: 16 May 2016 → 17 May 2016 |
Conference
Conference | 8th International Workshop on Modeling in Software Engineering, MiSE 2016 |
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Country | United States |
City | Austin |
Period | 16/05/16 → 17/05/16 |
Keywords
- Computer Science
- Software Engineering