Keywords

Computer programs

Abstract

Algorithms used to determine the control and data flow properties of computer programs are generally designed for one-time analysis of an entire new input. Application of such algorithms when the input is only slightly modified results in an inefficient system. In this theses a set of incremental update algorithms are presented for data flow analysis. These algorithms update the solution from a previous analysis to reflect changes in the program. Thus, extensive reanalysis to reflect changes in the program. Thus, extensive reanalysis of programs after each program modification can be avoided. The incremental update algorithms presented for global flow analysis are based on Hecht/Ullman iterative algorithms. Banning's interprocedural data flow analysis algorithms form the basis for the incremental interprocedural algorithms.

Notes

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Graduation Date

1983

Advisor

Cottrell, Larry K.

Degree

Doctor of Philosophy (Ph.D.)

College

College of Arts and Sciences

Degree Program

Computer Science

Format

PDF

Pages

159 p.

Language

English

Rights

Public Domain

Length of Campus-only Access

None

Access Status

Doctoral Dissertation (Open Access)

Identifier

DP0014007

Contributor (Linked data)

Larry K. Cottrell (Q57978539)

Accessibility Status

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