Learning to Adapt – Software Engineering for Uncertainty-Reference-Cited by-同舟云学术

Learning to Adapt – Software Engineering for Uncertainty

Published:2022-02-24 Issue: Volume: Page:
ISSN:
Container-title:15th Innovations in Software Engineering Conference
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Author:

Kholkar Deepali¹,Roychoudhury Suman¹,Kulkarni Vinay¹,Reddy Sreedhar¹

Affiliation:

1. Tata Consultancy Services Research, India

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3511430.3511449

Reference26 articles.

1. Reflecting on self-adaptive software systems

2. Automated planning for software architecture evolution

3. Models@ run.time

4. Engineering Self-Adaptive Systems through Feedback Loops

5. Radu Calinescu , Raffaela Mirandola , Diego Perez-Palacin , and Danny Weyns . 2020 . Understanding Uncertainty in Self-adaptive Systems. In 2020 IEEE International Conference on Autonomic Computing and Self-Organizing Systems (ACSOS). 242–251 . https://doi.org/10.1109/ACSOS49614.2020.00047 10.1109/ACSOS49614.2020.00047 Radu Calinescu, Raffaela Mirandola, Diego Perez-Palacin, and Danny Weyns. 2020. Understanding Uncertainty in Self-adaptive Systems. In 2020 IEEE International Conference on Autonomic Computing and Self-Organizing Systems (ACSOS). 242–251. https://doi.org/10.1109/ACSOS49614.2020.00047

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