Modeling for sustainability

Benoit Combemale, Betty H.C. Cheng, Ana Moreira, Jean Michel Bruel, Jeff Gray

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

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 languageEnglish
Title of host publicationProceedings - 8th International Workshop on Modeling in Software Engineering, MiSE 2016
PublisherAssociation for Computing Machinery, Inc
Pages62-66
Number of pages5
ISBN (Electronic)978-1-4503-4164-6
DOIs
Publication statusPublished - 14 May 2016
Event8th International Workshop on Modeling in Software Engineering, MiSE 2016 - Austin, United States
Duration: 16 May 201617 May 2016

Conference

Conference8th International Workshop on Modeling in Software Engineering, MiSE 2016
CountryUnited States
CityAustin
Period16/05/1617/05/16

Fingerprint

Sustainability
Sustainable development
Modeling
Engineering
Model
Dynamic Adaptation
Software Engineering
Software engineering
Trade-offs
Decision making
Decision Making
Economics
Feedback

Keywords

  • Computer Science
  • Software Engineering

Cite this

Combemale, B., Cheng, B. H. C., Moreira, A., Bruel, J. M., & Gray, J. (2016). Modeling for sustainability. In Proceedings - 8th International Workshop on Modeling in Software Engineering, MiSE 2016 (pp. 62-66). Association for Computing Machinery, Inc. https://doi.org/10.1145/2896982.2896992
Combemale, Benoit ; Cheng, Betty H.C. ; Moreira, Ana ; Bruel, Jean Michel ; Gray, Jeff. / Modeling for sustainability. Proceedings - 8th International Workshop on Modeling in Software Engineering, MiSE 2016. Association for Computing Machinery, Inc, 2016. pp. 62-66
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Combemale, B, Cheng, BHC, Moreira, A, Bruel, JM & Gray, J 2016, Modeling for sustainability. in Proceedings - 8th International Workshop on Modeling in Software Engineering, MiSE 2016. Association for Computing Machinery, Inc, pp. 62-66, 8th International Workshop on Modeling in Software Engineering, MiSE 2016, Austin, United States, 16/05/16. https://doi.org/10.1145/2896982.2896992

Modeling for sustainability. / Combemale, Benoit; Cheng, Betty H.C.; Moreira, Ana; Bruel, Jean Michel; Gray, Jeff.

Proceedings - 8th International Workshop on Modeling in Software Engineering, MiSE 2016. Association for Computing Machinery, Inc, 2016. p. 62-66.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Combemale B, Cheng BHC, Moreira A, Bruel JM, Gray J. Modeling for sustainability. In Proceedings - 8th International Workshop on Modeling in Software Engineering, MiSE 2016. Association for Computing Machinery, Inc. 2016. p. 62-66 https://doi.org/10.1145/2896982.2896992