Abstract Domains and Solvers for Sets Reasoning - Inria - Institut national de recherche en sciences et technologies du numérique Access content directly
Conference Papers Year :

Abstract Domains and Solvers for Sets Reasoning

Abstract

When constructing complex program analyses, it is often useful to reason about not just individual values, but collections of values. Symbolic set abstractions provide building blocks that can be used to partition elements, relate partitions to other partitions, and determine the provenance of multiple values, all without knowing any concrete values. To address the simultaneous challenges of scalability and precision, we formalize and implement an interface for symbolic set abstractions and construct multiple abstract domains relying on both specialized data structures and off-the-shelf theorem provers. We develop techniques for lifting existing domains to improve performance and precision. We evaluate these domains on real-world data structure analysis problems.
No file

Dates and versions

hal-01256309 , version 1 (14-01-2016)

Identifiers

Cite

Arlen Cox, Bor-Yuh Evan Chang, Huisong Li, Xavier Rival. Abstract Domains and Solvers for Sets Reasoning. 20th International Conference, LPAR-20, Nov 2015, Suva, Fiji. ⟨10.1007/978-3-662-48899-7_25⟩. ⟨hal-01256309⟩
92 View
0 Download

Altmetric

Share

Gmail Facebook Twitter LinkedIn More