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Evaluation of software architectures under uncertainty: A systematic literature review
Context: Evaluating software architectures in uncertain environments raises new challenges,
which require continuous approaches. We define continuous evaluation as multiple …
which require continuous approaches. We define continuous evaluation as multiple …
Future smart connected communities to fight covid-19 outbreak
Abstract Internet of Things (IoT) has grown rapidly in the last decade and continues to
develop in terms of dimension and complexity, offering a wide range of devices to support a …
develop in terms of dimension and complexity, offering a wide range of devices to support a …
Spatial data quality in the Internet of Things: Management, exploitation, and prospects
With the continued deployment of the Internet of Things (IoT), increasing volumes of devices
are being deployed that emit massive spatially referenced data. Due in part to the dynamic …
are being deployed that emit massive spatially referenced data. Due in part to the dynamic …
Applying architecture-based adaptation to automate the management of internet-of-things
Abstract Architecture-based adaptation equips a software-intensive system with a feedback
loop that enables the system to adapt itself at runtime to changes to maintain its required …
loop that enables the system to adapt itself at runtime to changes to maintain its required …
Deep learning for effective and efficient reduction of large adaptation spaces in self-adaptive systems
Many software systems today face uncertain operating conditions, such as sudden changes
in the availability of resources or unexpected user behavior. Without proper mitigation these …
in the availability of resources or unexpected user behavior. Without proper mitigation these …
[HTML][HTML] Software architecture-based self-adaptation in robotics
Context: Robotics software architecture-based self-adaptive systems (RSASSs) are robotics
systems made robust to runtime uncertainty by adapting their software architectures. The …
systems made robust to runtime uncertainty by adapting their software architectures. The …
Continuous QoS-aware adaptation of Cloud-IoT application placements
Abstract Cloud-Internet of Things computing paradigms call for novel and efficient
methodologies to decide where to place application services in continuity with Continuous …
methodologies to decide where to place application services in continuity with Continuous …
AMon: A domain-specific language and framework for adaptive monitoring of Cyber–Physical Systems
Abstract Cyber–Physical Systems (CPS) are increasingly used in safety–critical scenarios
where ensuring their correct behavior at runtime becomes a crucial task. Therefore, the …
where ensuring their correct behavior at runtime becomes a crucial task. Therefore, the …
Taming model uncertainty in self-adaptive systems using bayesian model averaging
Research on uncertainty quantification and mitigation of software-intensive systems and
(self-) adaptive systems, is increasingly gaining momentum, especially with the availability of …
(self-) adaptive systems, is increasingly gaining momentum, especially with the availability of …
[HTML][HTML] Toward management of uncertainty in self-adaptive software systems: IoT case study
Adaptivity is the ability of the system to change its behavior whenever it does not achieve the
system requirements. Self-adaptive software systems (SASS) are considered a milestone in …
system requirements. Self-adaptive software systems (SASS) are considered a milestone in …