Iterative Global Flow Techniques for Detecting Program Anomalies

Gillett, Will Dean

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University of Illinois at Urbana-Champaign

Iterative Global Flow Techniques for Detecting Program Anomalies

dc:creator Gillett, Will Dean

thesis:degree_name Ph.D.

dc:date2014

Abstract

dc:description

Made available in DSpace on 2014-12-13T18:01:57Z (GMT). No. of bitstreams: 1 7714953.pdf: 6199121 bytes, checksum: 4243e7f7d8f1a00b0844a356f613c91f (MD5) Previous issue date: 1977

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: 2014

Author and committee

dc:creator, dc:contributor.*

Author dc:creator: Gillett, Will Dean

Subjects

dc:subject × 1

Computer Science

Rights

Language dc:language: eng

Identifiers

dc:identifier.*

Identifier: (UMI)AAI7714953
OAI identifier oai:identifier: oai:www.ideals.illinois.edu:2142/66403

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

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citation

Gillett, Will Dean. Iterative Global Flow Techniques for Detecting Program Anomalies. Dissertation thesis, University of Illinois at Urbana-Champaign, 2014. http://hdl.handle.net/2142/66403

Iterative Global Flow Techniques for Detecting Program Anomalies

Abstract

Degree

Author and committee

Subjects

Rights

Identifiers

Chain of custody

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