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

4 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

Keywords

  • Computer Science
  • Software Engineering

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