Toward model-driven sustainability evaluation-Reference-Cited by-同舟云学术

Toward model-driven sustainability evaluation

Published:2020-02-24 Issue:3 Volume:63 Page:80-91
ISSN:0001-0782
Container-title:Communications of the ACM
language:en
Short-container-title:Commun. ACM

Author:

Kienzle Jörg¹,Mussbacher Gunter¹,Combemale Benoit²,Bastin Lucy³,Bencomo Nelly³,Bruel Jean-Michel⁴,Becker Christoph⁵,Betz Stefanie⁶,Chitchyan Ruzanna⁷,Cheng Betty H. C.⁸,Klingert Sonja⁹,Paige Richard F.¹⁰,Penzenstadler Birgit¹¹,Seyff Norbert¹²,Syriani Eugene¹³,Venters Colin C.¹⁴

Affiliation:

1. McGill University

2. University of Toulouse and Inria

3. Aston University

4. University of Toulouse

5. University of Toronto

6. Furtwangen University

7. University of Bristol

8. Michigan State University

9. University of Mannheim

10. McMaster University

11. Chalmers University of Technology

12. FHNW and University of Zurich

13. Universite de Montreal

14. University of Huddersfield

Abstract

Exploring the vision of a model-based framework that may enable broader engagement with and informed decision making about sustainability issues.

Publisher

Association for Computing Machinery (ACM)

Subject

General Computer Science

Link

https://dl.acm.org/doi/pdf/10.1145/3371906

Reference54 articles.

1. User experience for model-driven engineering: Challenges and future directions;Abrahao S.;Model Driven Engineering Languages and Systems,2017

Cited by 11 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Enabling Informed Sustainability Decisions: Sustainability Assessment in Iterative System Modeling;2023 ACM/IEEE International Conference on Model Driven Engineering Languages and Systems Companion (MODELS-C);2023-10-01

2. Towards Modeling and Predicting the Resilience of Ecosystems;2023 ACM/IEEE International Conference on Model Driven Engineering Languages and Systems Companion (MODELS-C);2023-10-01

3. Insolvent;2023-06-06

4. Evaluating the benefits of empowering model‐driven development with a machine learning classifier;Software: Practice and Experience;2022-08-06

5. SEALS: a framework for building self-adaptive virtual machines;Proceedings of the 14th ACM SIGPLAN International Conference on Software Language Engineering;2021-10-17