Towards a Research Agenda for Understanding and ManagingUncertainty in Self-Adaptive Systems - Télécom Paris Accéder directement au contenu
Article Dans Une Revue Software Engineering Notes Année : 2023

Towards a Research Agenda for Understanding and ManagingUncertainty in Self-Adaptive Systems

Résumé

Despite considerable research efforts on handling uncertainty in self-adaptive systems, a comprehensive understanding of the precise nature of uncertainty is still lacking. This paper summarises the findings of the 2023 Bertinoro Seminar on Uncertainty in Self- Adaptive Systems, which aimed at thoroughly investigating the notion of uncertainty, and outlining open challenges associated with its handling in self-adaptive systems. The seminar discussions were centered around five core topics: (1) agile end-toend handling of uncertainties in goal-oriented self-adaptive systems, (2) managing uncertainty risks for self-adaptive systems, (3) uncertainty propagation and interaction, (4) uncertainty in self-adaptive machine learning systems, and (5) human empowerment under uncertainty. Building on the insights from these discussions, we propose a research agenda listing key open challenges, and a possible way forward for addressing them in the coming years.
Fichier non déposé

Dates et versions

hal-04362266 , version 1 (22-12-2023)

Identifiants

Citer

Danny Weyns, Radu Calinescu, Raffaela Mirandola, Kenji Tei, Maribel Acosta, et al.. Towards a Research Agenda for Understanding and ManagingUncertainty in Self-Adaptive Systems. Software Engineering Notes, 2023, 48 (4), pp.20-36. ⟨10.1145/3617946.3617951⟩. ⟨hal-04362266⟩
19 Consultations
0 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More