Uncertainty Flow Diagrams: Towards a Systematic Representation of Uncertainty Propagation and Interaction in Adaptive Systems

Camara, Javier; Hahner, Sebastian; Perez-Palacin, Diego; Vallecillo, Antonio; Acosta, Maribel; Bencomo, Nelly; Calinescu, Radu; Gerasimou, Simos

Abstract

Sources of uncertainty in adaptive systems are rarely independent, and their interaction can affect the attainment of system goals in unpredictable ways. Despite ample work on “taming” uncertainty, the research community has devoted little attention to the systematic representation, analysis, and mitigation of uncertainty propagation and interaction (UPI) in adaptive systems. To address this oversight, we introduce Uncertainty Flow Diagrams, a notation that captures key UPI aspects. We demonstrate the use and benefits of our novel notation on Znn.com, an adaptive news site infrastructure.

Citation

Camara, J., Hahner, S., Perez-Palacin, D., Vallecillo, A., Acosta, M., Bencomo, N., …Gerasimou, S. (in press). Uncertainty Flow Diagrams: Towards a Systematic Representation of Uncertainty Propagation and Interaction in Adaptive Systems. In Proceedings 2024 IEEE/ACM 19th Symposium on Software Engineering for Adaptive and Self-Managing Systems

• Conference Name: 2024 IEEE/ACM 19th Symposium on Software Engineering for Adaptive and Self-Managing Systems
• Conference Location: Lisbon, Portugal
• Start Date: Apr 15, 2024
• End Date: Apr 16, 2024
• Acceptance Date: Jan 15, 2024
• Deposit Date: Feb 11, 2024
• Book Title: Proceedings 2024 IEEE/ACM 19th Symposium on Software Engineering for Adaptive and Self-Managing Systems
• Public URL: https://durham-repository.worktribe.com/output/2251893
• Publisher URL: https://ieeexplore.ieee.org/xpl/conhome/1001961/all-proceedings