Paper
22 August 2024 Constraint solver selection based on the transformer model
Wei Wang
Author Affiliations +
Proceedings Volume 13228, Fifth International Conference on Computer Communication and Network Security (CCNS 2024); 1322808 (2024) https://doi.org/10.1117/12.3038373
Event: Fifth International Conference on Computer Communication and Network Security (CCNS 2024), 2024, Guangzhou, China
Abstract
Symbolic execution generates test cases that cover all possible paths by symbolizing program code and executing program paths in symbolic form. However, this technique is not good in code coverage due to expensive constraint solving, which takes up most of the time of symbolic execution. In view of the problem that constraint solving takes too much time on certain path constraints, this paper proposes to select the best solver for path constraints based on transformer model, so as to minimize the overall solution time, effectively alleviate the problem of excessive solution time for constraint solving, and improve the efficiency and availability of symbolic execution.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Wei Wang "Constraint solver selection based on the transformer model", Proc. SPIE 13228, Fifth International Conference on Computer Communication and Network Security (CCNS 2024), 1322808 (22 August 2024); https://doi.org/10.1117/12.3038373
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Transformers

Data modeling

Machine learning

Education and training

Feature extraction

Design

Neural networks

Back to Top