AuthorsC. Boogerd and L. Moonen
EditorsJ. Cordy and L. Zhang
TitleOn the Use of Data Flow Analysis in Static Profiling
Afilliation, Software Engineering
StatusPublished
Publication TypeProceedings, refereed
Year of Publication2008
Conference NameProceedings of the Eighth IEEE International Working Conference on Source Code Analysis and Manipulation (SCAM 2008)
Pagination79-88
Date PublishedSeptember
PublisherIEEE
ISBN Number978-0-7695-3353-7
Abstract

Static profiling is a technique that produces estimates of execution likelihoods or frequencies based on source code analysis only. It is frequently used in determining cost/benefit ratios for certain compiler optimizations. In previous work,we introduced a simple algorithm to compute execution likelihoods,based on a control flow graph and heuristic branch prediction. In this paper we examine the benefits of using more involved analysis techniques in such a static profiler. In particular, we explore the use of value range propagation to improve the accuracy of the estimates, and we investigate the differences in estimating execution likelihoods and frequencies.

Citation KeySimula.SE.333