Systematic literature review of the objectives, techniques, kinds, and architectures of models at runtime
M Szvetits, U Zdun - Software & Systems Modeling, 2016 - Springer
In the context of software development, models provide an abstract representation of a
software system or a part of it. In the software development process, they are primarily used …
software system or a part of it. In the software development process, they are primarily used …
Financial causal sentence recognition based on BERT-CNN text classification
CX Wan, B Li - The Journal of Supercomputing, 2022 - Springer
By studying the causality contained in financial texts, we can further reveal more potential
laws of economic activities, such as “factors promoting stable and healthy economic …
laws of economic activities, such as “factors promoting stable and healthy economic …
Runtime model based approach to IoT application development
X Chen, A Li, X Zeng, W Guo, G Huang - Frontiers of Computer Science, 2015 - Springer
The internet of things (IoT) attracts great interest in many application domains concerned
with monitoring and control of physical phenomena. However, application development is …
with monitoring and control of physical phenomena. However, application development is …
The efficiency of cooperative learning in physical education on the learning of action skills and learning motivation
C Yang, R Chen, X Chen, KH Lu - Frontiers in psychology, 2021 - frontiersin.org
This paper proposes a cooperative learning method for use in physical education, involving
two different grouping methods: S-type heterogeneous grouping and “free” grouping …
two different grouping methods: S-type heterogeneous grouping and “free” grouping …
Living with uncertainty in the age of runtime models
Uncertainty can be defined as the difference between information that is represented in an
executing system and the information that is both measurable and available about the …
executing system and the information that is both measurable and available about the …
Design of an IoT DDoS attack prediction system based on data mining technology
L Huang - The Journal of Supercomputing, 2022 - Springer
Due to the rise of the Internet of things (IoT), the threat to information security extends from
general servers to IoT devices. Possible IoT security issues include all kinds of network …
general servers to IoT devices. Possible IoT security issues include all kinds of network …
Using a task dependency job-scheduling method to make energy savings in a cloud computing environment
R Chen, X Chen, C Yang - The Journal of Supercomputing, 2022 - Springer
Internet technology has developed rapidly, especially in the field of cloud computing. With
the gradual growth of cloud computing capabilities, power consumption in data centres has …
the gradual growth of cloud computing capabilities, power consumption in data centres has …
Self-adaptation through incremental generative model transformations at runtime
A self-adaptive system uses runtime models to adapt its architecture to the changing
requirements and contexts. However, there is no one-to-one mapping between the …
requirements and contexts. However, there is no one-to-one mapping between the …
Mechanisms for leveraging models at runtime in self-adaptive software
Modern software systems are often required to adapt their behavior at runtime in order to
maintain or enhance their utility in dynamic environments. Models at runtime research aims …
maintain or enhance their utility in dynamic environments. Models at runtime research aims …
Architectural run-time models for performance and privacy analysis in dynamic cloud applications
R Heinrich - ACM SIGMETRICS Performance Evaluation Review, 2016 - dl.acm.org
Building software systems by composing third-party cloud services promises many benefits
such as flexibility and scalability. Yet at the same time, it leads to major challenges like …
such as flexibility and scalability. Yet at the same time, it leads to major challenges like …