Global Decision Making Over Deep Variability in Feedback-Driven Software Development-Reference-Cited by-同舟云学术

Global Decision Making Over Deep Variability in Feedback-Driven Software Development

Published:2022-10-10 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 37th IEEE/ACM International Conference on Automated Software Engineering
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Author:

Kienzle Joerg¹^ORCID,Combemale Benoit²^ORCID,Mussbacher Gunter³^ORCID,Alam Omar⁴,Bordeleau Francis⁵,Burgueno Lola⁶,Engels Gregor⁷^ORCID,Galasso Jessie⁸,Jézéquel Jean-Marc²^ORCID,Kemme Bettina³,Mosser Sébastien⁹,Sahraoui Houari¹⁰,Schiedermeier Maximilian³^ORCID,Syriani Eugene¹¹

Affiliation:

1. McGill, Canada

2. University of Rennes 1, France

3. McGill University, Canada

4. Trent University, Canada

5. ETS, Canada

6. Open University of Catalonia & CEA LIST, Spain

7. Paderborn University, Germany

8. GEODES, DIRO, University of Montréal, Canada

9. McMaster University, Canada

10. DIRO, Université de Montréal, Canada

11. Université de Montréal, Canada

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3551349.3559551

Reference32 articles.

1. Reproducible Science and Deep Software Variability

2. Edouard R Batot and Houari Sahraoui. 2022. Promoting social diversity for the automated learning of complex MDE artifacts. Software and Systems Modeling(2022) 1–20. Edouard R Batot and Houari Sahraoui. 2022. Promoting social diversity for the automated learning of complex MDE artifacts. Software and Systems Modeling(2022) 1–20.

3. Automated Reasoning on Feature Models

4. Models@ run.time

5. User Involvement throughout the Innovation Process in High-Tech Industries

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