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University of Illinois at Urbana-Champaign

Efficient computation of fixpoints that arise in abstract interpretation

Abstract

dc:description

Program analysis is critical to many software engineering tools. However, modern programming languages make use of a number of constructs that greatly complicate dataflow analyses, for example, unrestricted pointers, higher-order functions, and dynamic allocation. Program analyses based on abstract interpretation are a promising means of analyzing these difficult constructs. Unfortunately, abstract interpretation often gives rise to complex and expensive fixpoint computations. If it is to become a practical and widely used technique, the problem of computing these fixpoints efficiently must be addressed and overcome.

Degree

thesis:*
Name thesis:degree_name
Ph.D.
Level thesis:degree_level
Dissertation
Discipline thesis:degree_discipline
Computer Science
Grantor
University of Illinois at Urbana-Champaign
Year dc:date
2011

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Chen, Li-Ling
Contributors dc:contributor
  • Kamin, Samuel N.

Subjects

dc:subject × 1

Rights

dc:rights
Statement dc:rights
  • Copyright 1994 Chen, Li-Ling
Language dc:language
eng

Identifiers

dc:identifier.*
Identifier
AAI9522090
(UMI)AAI9522090
OAI identifier oai:identifier
oai:www.ideals.illinois.edu:2142/21916

Chain of custody

source
Harvested from
University of Illinois - Urbana-Champaign
Base URL
www.ideals.illinois.edu/oai-pmh
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
citation

Chen, Li-Ling. Efficient computation of fixpoints that arise in abstract interpretation. Dissertation thesis, University of Illinois at Urbana-Champaign, 2011. http://hdl.handle.net/2142/21916