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Brigham Young University - Provo

Dynamic Dead Variable Analysis

Abstract

dc:description.abstract

Dynamic dead variable analysis (DDVA) extends traditional static dead variable analysis (SDVA) in the context of model checking through the use of run-time information. The analysis is run multiple times during the course of model checking to create a more precise set of dead variables. The DDVA is evaluated based on the amount of memory used to complete model checking relative to SDVA while considering the extra overhead required to implement DDVA. On several models with a complex control flow graph, DDVA reduces the amount of memory needed by 38-88MB compared to SDVA with a cost of 36 bytes of memory verhead. On several models with loops, DDVA achieved no additional reduction compared to SDVA while requiring no more memory than SDVA.

Degree

thesis:*
Name thesis:degree_name
MS
Grantor dc:publisher
Brigham Young University - Provo

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Lewis, Micah S.

Subjects

dc:subject × 7

Rights

Language dc:language
English

Identifiers

dc:identifier.*
Repository record dc:identifier
https://scholarsarchive.byu.edu/etd/639
OAI identifier oai:identifier
oai:scholarsarchive.byu.edu:etd-1638

Chain of custody

source
Harvested from
Brigham Young University
Base URL
scholarsarchive.byu.edu/do/oai/
Last updated
2026-07-24
Source record
OAI-PMH GetRecord
citation

Lewis, Micah S.. Dynamic Dead Variable Analysis. Brigham Young University - Provo, https://scholarsarchive.byu.edu/etd/639