Learning graph-based heuristics for pointer analysis without handcrafting application-specific features

Author:

Jeon Minseok1,Lee Myungho1,Oh Hakjoo1

Affiliation:

1. Korea University, South Korea

Publisher

Association for Computing Machinery (ACM)

Subject

Safety, Risk, Reliability and Quality,Software

Cited by 18 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Falcon: A Fused Approach to Path-Sensitive Sparse Data Dependence Analysis;Proceedings of the ACM on Programming Languages;2024-06-20

2. When to Stop Going Down the Rabbit Hole: Taming Context-Sensitivity on the Fly;Proceedings of the 13th ACM SIGPLAN International Workshop on the State Of the Art in Program Analysis;2024-06-20

3. Generic Sensitivity: Generics-Guided Context Sensitivity for Pointer Analysis;IEEE Transactions on Software Engineering;2024-05

4. Learning Abstraction Selection for Bayesian Program Analysis;Proceedings of the ACM on Programming Languages;2024-04-29

5. A Container-Usage-Pattern-Based Context Debloating Approach for Object-Sensitive Pointer Analysis;Proceedings of the ACM on Programming Languages;2023-10-16

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