All Outputs (6)

Surprise! Surprise! Learn and Adapt (2024)
Presentation / Conference Contribution
Samin, H., Walton, D., & Bencomo, N. (2025, May). Surprise! Surprise! Learn and Adapt. Presented at 24th International Conference on Autonomous Agents and Multiagent Systems, Detroit, Michigan, USA

Self-adaptive systems (SAS) adjust their behavior at runtime in response to environmental changes, which are often unpredictable at design time. SAS must make decisions under uncertainty, balancing trade-offs between quality attributes (e.g., cost mi... Read More about Surprise! Surprise! Learn and Adapt.

Latency-aware RDMSim: Enabling the Investigation of Latency in Self-Adaptation for the Case of Remote Data Mirroring (2024)
Presentation / Conference Contribution
Götz, S., Samin, H., & Bencomo, N. (2024, April). Latency-aware RDMSim: Enabling the Investigation of Latency in Self-Adaptation for the Case of Remote Data Mirroring. Presented at SEAMS '24: 19th International Conference on Software Engineering for Adaptive and Self-Managing Systems, Lisbon, Portugal

Self-adaptive systems are able to adapt themselves according to changing contextual conditions to ensure a set of predefined objectives (e.g., certain non-functional requirements like reliability) is reached. For this, they perform adaptation actions... Read More about Latency-aware RDMSim: Enabling the Investigation of Latency in Self-Adaptation for the Case of Remote Data Mirroring.

Decision-Making Support for Adaptive Learning Management Systems based on Bayesian Inference (2022)
Presentation / Conference Contribution
Bencomo, N., Samin, H., & Pavlich-Mariscal, J. (2022, July). Decision-Making Support for Adaptive Learning Management Systems based on Bayesian Inference. Paper presented at CausalEDM'22, Durham

A novel approach will be applied to the domain of virtual education, which involves an adaptive learning management system using Bayesian Learning. The student's progress is considered partially observable based on what has been monitored. The acquir... Read More about Decision-Making Support for Adaptive Learning Management Systems based on Bayesian Inference.

RDMSim: An Exemplar for Evaluation and Comparison of Decision-Making Techniques for Self-Adaptation (2021)
Presentation / Conference Contribution
Samin, H., Paucar, L. H. G., Bencomo, N., Hurtado, C. M. C., & Fredericks, E. M. (2021, December). RDMSim: An Exemplar for Evaluation and Comparison of Decision-Making Techniques for Self-Adaptation. Presented at 16th International Symposium on Software Engineering for Adaptive and Self-Managing Systems, SEAMS@ICSE 2021, Madrid, Spain, May 18-24, 2021

Pri-AwaRE: Tool Support for priority-aware decision-making under uncertainty (2021)
Presentation / Conference Contribution
Samin, H., Bencomo, N., & Sawyer, P. (2021, December). Pri-AwaRE: Tool Support for priority-aware decision-making under uncertainty. Presented at 29th IEEE International Requirements Engineering Conference, RE 2021, Notre Dame, IN, USA, September 20-24, 2021

Towards priority-awareness in autonomous intelligent systems (2021)
Presentation / Conference Contribution
Samin, H., Paucar, L. H. G., Bencomo, N., & Sawyer, P. (2021, December). Towards priority-awareness in autonomous intelligent systems. Presented at SAC '21: The 36th ACM/SIGAPP Symposium on Applied Computing, Virtual Event, Republic of Korea, March 22-26, 2021