2021
DOI: 10.1007/978-3-030-67067-2_12
|View full text |Cite
|
Sign up to set email alerts
|

Runtime Abstract Interpretation for Numerical Accuracy and Robustness

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
0
0

Year Published

2023
2023
2024
2024

Publication Types

Select...
1
1
1

Relationship

0
3

Authors

Journals

citations
Cited by 3 publications
(1 citation statement)
references
References 37 publications
0
0
0
Order By: Relevance
“…This paper claims several times that the generated code is efficient. It is supported by several previous experiments, including examples specifically written for evaluating the E-ACSL type system [6,16], and evaluations on existing benchmarks [29], or concrete use cases [8,22,24,28]. Beyond demonstrating scalability, all these experiments increase our confidence in the implementation.…”
Section: Methodsmentioning
confidence: 99%
“…This paper claims several times that the generated code is efficient. It is supported by several previous experiments, including examples specifically written for evaluating the E-ACSL type system [6,16], and evaluations on existing benchmarks [29], or concrete use cases [8,22,24,28]. Beyond demonstrating scalability, all these experiments increase our confidence in the implementation.…”
Section: Methodsmentioning
confidence: 99%