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Reasoning about sensing uncertainty and its reduction in decision-making for self-adaptation

  • Published:2018-12 Issue: Volume:167 Page:51-69
  • ISSN:0167-6423
  • Container-title:Science of Computer Programming
  • language:en
  • Short-container-title:Science of Computer Programming

Author:

Cámara JavierORCID,Peng Wenxin,Garlan David,Schmerl Bradley

Funder

AFRL

DARPA

Department of Defense

Carnegie Mellon University

Publisher

Elsevier BV

Subject

Software

Reference36 articles.

1. Fuzzy goals for requirements-driven adaptation;Baresi,2010

2. Model checking of probabilistic and nondeterministic systems;Bianco,1995

3. Dynamic QoS management and optimization in service-based systems;Calinescu;IEEE Trans. Softw. Eng.,2011

4. Using quantitative analysis to implement autonomic IT systems;Calinescu,2009

5. Uncertainty in Self-Adaptive Systems: Categories, Management, and Perspectives;Cámara,2017

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1. Self-adapting Machine Learning-based Systems via a Probabilistic Model Checking Framework;ACM Transactions on Autonomous and Adaptive Systems;2024-09-13

2. Decision Making for Self-Adaptation Based on Partially Observable Satisfaction of Non-Functional Requirements;ACM Transactions on Autonomous and Adaptive Systems;2024-04-20

3. Formal Synthesis of Uncertainty Reduction Controllers;Proceedings of the 19th International Symposium on Software Engineering for Adaptive and Self-Managing Systems;2024-04-15

4. A Multidisciplinary Model to Quantify Human Uncertainty in Human-Centric Cyber-Physical-Social Systems: A 5G Application Use Case;IEEE Access;2024

5. Towards a Research Agenda for Understanding and ManagingUncertainty in Self-Adaptive Systems;ACM SIGSOFT Software Engineering Notes;2023-10-13
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