A novel approach of data race detection based on CNN-BiLSTM hybrid neural network
Y Zhang, J Yan, L Qiao, H Gao - Neural Computing and Applications, 2022 - Springer
Existing data race detection approaches based on deep learning are suffering from the
problems of unique feature extraction and low accuracy. To this end, this paper proposes a …
problems of unique feature extraction and low accuracy. To this end, this paper proposes a …
Detection of concurrency errors in multithreaded applications based on static source code analysis
D Giebas, R Wojszczyk - IEEE Access, 2021 - ieeexplore.ieee.org
Computer systems that allow multithreaded execution of applications have become
extremely common, even small portable devices operate in multithreaded mode. This is …
extremely common, even small portable devices operate in multithreaded mode. This is …
Repair of multithreaded errors in the control and measurement system
R Wojszczyk, D Giebas - … Computing and Artificial Intelligence, Volume 2 …, 2022 - Springer
Nowadays, one does not need to be a professional to build IT systems. Such systems may
offer expected functionalities, but they are often insufficiently tested. Lack of testing results in …
offer expected functionalities, but they are often insufficiently tested. Lack of testing results in …
Multithreading Errors in Data Reading Automation
W Rafał, G Damian - Conference on Automation, 2022 - Springer
With the development of the Internet of Things (IoT) domain, it is now possible to build IT
systems fulfilling the role of control and measurement systems by non-professionals. Such …
systems fulfilling the role of control and measurement systems by non-professionals. Such …