The application of machine learning in self-adaptive systems: A systematic literature review

TRD Saputri, SW Lee - IEEE Access, 2020 - ieeexplore.ieee.org
Context: Self-adaptive systems have been studied in software engineering over the past few
decades attempting to address challenges within the field. There is a continuous significant …

Towards a research agenda for understanding and managing uncertainty in self-adaptive systems

D Weyns, R Calinescu, R Mirandola, K Tei… - ACM SIGSOFT …, 2023 - dl.acm.org
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 …

Using models at runtime to address assurance for self-adaptive systems

BHC Cheng, KI Eder, M Gogolla, L Grunske… - Models@ run. time …, 2014 - Springer
A self-adaptive software system modifies its behavior at runtime in response to changes
within the system or in its execution environment. The fulfillment of the system requirements …

On the impact of fuzzy-logic based BDI agent model for cyber–physical systems

B Karaduman, BT Tezel, M Challenger - Expert Systems with Applications, 2024 - Elsevier
Abstract Cyber–Physical Systems (CPS) interconnect embedded computing technologies
into the physical world, forming a complex, multi-disciplinary, physically-effective system …

MAPE-K/MAPE-SAC: An interaction framework for adaptive systems with security assurance cases

S Jahan, I Riley, C Walter, RF Gamble, M Pasco… - Future Generation …, 2020 - Elsevier
Security certification establishes that a given system satisfies properties and constraints as
specified in the system security profile. Mechanisms and techniques have been developed …

Enact: Development, operation, and quality assurance of trustworthy smart iot systems

N Ferry, A Solberg, H Song, S Lavirotte, JY Tigli… - … Engineering Aspects of …, 2019 - Springer
To unleash the full potential of IoT and flourishing innovations in application domains such
as eHealth or smart city, it is critical to facilitate the creation and operation of trustworthy …

Systematic scalability modeling of QoS-aware dynamic service composition

L Duboc, R Bahsoon, F Alrebeish… - ACM Transactions on …, 2022 - dl.acm.org
In Dynamic Service Composition (DSC), an application can be dynamically composed using
web services to achieve its functional and Quality of Services (QoS) goals. DSC is a …

MoDALAS: addressing assurance for learning-enabled autonomous systems in the face of uncertainty

MA Langford, KH Chan, JE Fleck, PK McKinley… - Software and Systems …, 2023 - Springer
Increasingly, safety-critical systems include artificial intelligence and machine learning
components (ie, learning-enabled components (LECs)). However, when behavior is learned …

Providentia: Using search-based heuristics to optimize satisficement and competing concerns between functional and non-functional objectives in self-adaptive …

KM Bowers, EM Fredericks, RH Hariri… - Journal of Systems and …, 2020 - Elsevier
In general, a system may be subject to a combination of functional requirements (FRs) that
dictate behavior and non-functional requirements (NFRs) that characterize how FRs are to …

FAME: A UML-based framework for modeling fuzzy self-adaptive software

D Han, Q Yang, J Xing, J Li, H Wang - Information and Software …, 2016 - Elsevier
Abstract Context: Software Fuzzy Self-Adaptation (SFSA) is a fuzzy control-based software
self-adaptation paradigm proposed to deal with the fuzzy uncertainty existing in self …