Zobrazeno 1 - 10
of 182
pro vyhledávání: '"Metzger, Andreas"'
Publikováno v:
49th Euromicro Conference on Software Engineering and Advanced Applications (SEAA 2023)
Software quality assurance activities become increasingly difficult as software systems become more and more complex and continuously grow in size. Moreover, testing becomes even more expensive when dealing with large-scale systems. Thus, to effectiv
Externí odkaz:
http://arxiv.org/abs/2310.17264
Publikováno v:
4th IEEE Intl. Conference on Autonomic Computing and Self-Organizing Systems (ACSOS 2023)
When multiple self-adaptive systems share the same environment and have common goals, they may coordinate their adaptations at runtime to avoid conflicts and to satisfy their goals. There are two approaches to coordination. (1) Logically centralized,
Externí odkaz:
http://arxiv.org/abs/2310.17224
Deep Reinforcement Learning (Deep RL) is increasingly used to cope with the open-world assumption in service-oriented systems. Deep RL was successfully applied to problems such as dynamic service composition, job scheduling, and offloading, as well a
Externí odkaz:
http://arxiv.org/abs/2309.14391
Publikováno v:
Information Systems, 2023
Prescriptive business process monitoring provides decision support to process managers on when and how to adapt an ongoing business process to prevent or mitigate an undesired process outcome. We focus on the problem of automatically reconciling the
Externí odkaz:
http://arxiv.org/abs/2307.05939
Online reinforcement learning (RL) is increasingly used for realizing adaptive systems in the presence of design time uncertainty. Online RL facilitates learning from actual operational data and thereby leverages feedback only available at runtime. H
Externí odkaz:
http://arxiv.org/abs/2307.04098
Design time uncertainty poses an important challenge when developing a self-adaptive system. As an example, defining how the system should adapt when facing a new environment state, requires understanding the precise effect of an adaptation, which ma
Externí odkaz:
http://arxiv.org/abs/2210.05931
Predictive business process monitoring increasingly leverages sophisticated prediction models. Although sophisticated models achieve consistently higher prediction accuracy than simple models, one major drawback is their lack of interpretability, whi
Externí odkaz:
http://arxiv.org/abs/2202.12018
Autor:
Metzger, Andreas1 (AUTHOR), Quinton, Clément2 (AUTHOR), Mann, Zoltán Ádám1 (AUTHOR), Baresi, Luciano3 (AUTHOR), Pohl, Klaus1 (AUTHOR)
Publikováno v:
Computing. Apr2024, Vol. 106 Issue 4, p1251-1272. 22p.
Publikováno v:
Computing 2022
A self-adaptive system can modify its own structure and behavior at runtime based on its perception of the environment, of itself and of its requirements. To develop a self-adaptive system, software developers codify knowledge about the system and it
Externí odkaz:
http://arxiv.org/abs/1907.09158