Formalizing UML state machines for automated verification–A survey
The Unified Modeling Language (UML) is a standard for modeling dynamic systems. UML
behavioral state machines are used for modeling the dynamic behavior of object-oriented …
behavioral state machines are used for modeling the dynamic behavior of object-oriented …
Efsm-based test case generation: Sequence, data, and oracle
Model-based testing has been intensively and extensively studied in the past decades.
Extended Finite State Machine (EFSM) is a widely used model of software testing in both …
Extended Finite State Machine (EFSM) is a widely used model of software testing in both …
An integrated modeling, simulation and analysis framework for engineering complex systems
The discipline of component-based modeling and simulation offers promising gains in
reducing cost, time, and the complexity of model development through the (re) use of …
reducing cost, time, and the complexity of model development through the (re) use of …
Inferring computational state machine models from program executions
N Walkinshaw, M Hall - 2016 IEEE International Conference on …, 2016 - ieeexplore.ieee.org
The challenge of inferring state machines from log data or execution traces is well-
established, and has led to the development of several powerful techniques. Current …
established, and has led to the development of several powerful techniques. Current …
Diversity-oriented test suite generation for EFSM model
R Zhao, W Wang, Y Song, Z Li - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
In this article, test diversity has been suggested to be a valid way to improve test suite
effectiveness. Extended finite state machine (EFSM) is a widely used formal model, but little …
effectiveness. Extended finite state machine (EFSM) is a widely used formal model, but little …
Generalized observational slicing for tree-represented modelling languages
Model-driven software engineering raises the abstraction level making complex systems
easier to understand than if written in textual code. Nevertheless, large complicated software …
easier to understand than if written in textual code. Nevertheless, large complicated software …
Predicting power consumption of GPUs with fuzzy wavelet neural networks
H Wang, Y Cao - Parallel Computing, 2015 - Elsevier
Prediction and optimization of power consumption have become an essential issue in the
field of General-purpose computing on graphic processing units (GPUs) because of the …
field of General-purpose computing on graphic processing units (GPUs) because of the …
A generic model decomposition technique and its application to the Eclipse modeling framework
Abstract Model-driven software development aims at easing the process of software
development by using models as primary artifacts. Although less complex than the real …
development by using models as primary artifacts. Although less complex than the real …
[HTML][HTML] A Method for Modeling and Testing Near-Real-Time System Scenarios
Unmanned platforms are becoming more and more widely used in both civilian and military
applications. The flight safety of such aircraft is crucial. Therefore, it becomes necessary to …
applications. The flight safety of such aircraft is crucial. Therefore, it becomes necessary to …
[PDF][PDF] A survey on big data mining techniques
J Sangeetha, VSJ Prakash - International Journal of Computer …, 2017 - academia.edu
Big data mining emerges as an innovative and potential research area for retrieving useful
data from huge datasets. It is utilized in real-time applications such as social site data …
data from huge datasets. It is utilized in real-time applications such as social site data …