Parallelizing top-down interprocedural analyses

Author:

Albarghouthi Aws1,Kumar Rahul2,Nori Aditya V.3,Rajamani Sriram K.3

Affiliation:

1. University of Toronto, Toronto, Canada

2. Microsoft Corporation, Redmond, WA, USA

3. Microsoft Research, Bangalore, India

Publisher

ACM

Cited by 11 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. Octopus : Scaling Value-Flow Analysis via Parallel Collection of Realizable Path Conditions;ACM Transactions on Software Engineering and Methodology;2024-03-29

2. BigDataflow: A Distributed Interprocedural Dataflow Analysis Framework;Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering;2023-11-30

3. Input splitting for cloud-based static application security testing platforms;Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering;2022-11-07

4. Chianina: an evolving graph system for flow- and context-sensitive analyses of million lines of C code;Proceedings of the 42nd ACM SIGPLAN International Conference on Programming Language Design and Implementation;2021-06-18

5. Pipelining bottom-up data flow analysis;Proceedings of the ACM/IEEE 42nd International Conference on Software Engineering;2020-06-27

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