2021
DOI: 10.1007/978-3-030-67067-2_9
|View full text |Cite
|
Sign up to set email alerts
|

Verification of Concurrent Programs Using Petri Net Unfoldings

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1

Citation Types

0
4
0

Year Published

2022
2022
2024
2024

Publication Types

Select...
2
2
1

Relationship

0
5

Authors

Journals

citations
Cited by 5 publications
(4 citation statements)
references
References 24 publications
0
4
0
Order By: Relevance
“…Such code changes are small and localized enough to allow CAMC to be effective, although it remains an open question whether they reflect the majority of the software evolution and maintenance scenarios in practice. Another problem worth to investigate is how CAMC in this paper is orthogonal to other methods and how it can be better integrated with other methods, for example, partial‐order method 29 …”
Section: Discussionmentioning
confidence: 99%
See 2 more Smart Citations
“…Such code changes are small and localized enough to allow CAMC to be effective, although it remains an open question whether they reflect the majority of the software evolution and maintenance scenarios in practice. Another problem worth to investigate is how CAMC in this paper is orthogonal to other methods and how it can be better integrated with other methods, for example, partial‐order method 29 …”
Section: Discussionmentioning
confidence: 99%
“…Although we studied the evolution history from the code repository for some real‐world applications 38 and simulate the actual evolution process as realistically as possible, we do not use real code changes committed by their developer due to the limitation of compiler used in DAMER . Moreover, we will combine unfolding 29 to reduce more redundant interleavings when the verified result are not reused.…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…In recent years, the LSTM model or its deformed Bi-LSTM model is widely used in the prediction models in various fields, but some recent studies and experiments show that the short-term prediction accuracy of the TCN model is higher than that of the Bi-LSTM model [2] , so this paper will use the TCN model to predict the train trajectory and explore its application to rail transit. Finally, the train control system based on the dynamic spatiotemporal trajectory of the preceding train is formally modeled and verified to ensure that the system meets the requirements of comprehensiveness, safety and reliability [3] .…”
Section: Introductionmentioning
confidence: 99%