University of Illinois Urbana-Champaign

Categorization and analyzing linked structures

Tsai, Mei-Chin

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https://hdl.handle.net/2142/19122

Description

Title
Categorization and analyzing linked structures
Author(s)
Tsai, Mei-Chin
Issue Date
1994
Doctoral Committee Chair(s)
Harrison, Williams Ludwell, III,
Department of Study
Computer Science
Discipline
Computer Science
Degree Granting Institution
University of Illinois at Urbana-Champaign
Degree Name
Ph.D.
Degree Level
Dissertation
Keyword(s)
Computer Science
Language
eng
Abstract
  • In this thesis, we categorize linked structures and linked substructures each into four groups based on two attributes, sharing and cycles. We show that these two attributes can be determined at compile-time by augmenting any store-based analysis with heap reference counts and the missing link property. An analysis, which has the form of an abstract interpretation, is defined and implemented with the program generator Z1. The language analyzed is a low-level intermediate form in which there is no user-level type information. This fact makes the analysis applicable to languages like C and C++, for which type casting and type violations are frequent.
  • A set of programs that create and manipulate linked structures is analyzed. The results show that the analysis is able to correctly recognize a variety of linked data structures, such as radix trees and binary search trees, and substructures, such as those defined by down and next pointer fields in meshes.
Type of Resource
text
Permalink
http://hdl.handle.net/2142/19122
Copyright and License Information
Copyright 1994 Tsai, Mei-Chin

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Graduate Dissertations and Theses at Illinois PRIMARY
Graduate Theses and Dissertations at Illinois
Dissertations and Theses - Computer Science
Dissertations and Theses from the Dept. of Computer Science