High-level data flow analysis

Author:

Rosen Barry K.1

Affiliation:

1. IBM Thomas J. Watson Research Center, Yorktown Heights, NY

Abstract

In contrast to the predominant use of low-level intermediate text, high-level data flow analysis deals with programs essentially at source level and exploits the control flow information implicit in the parse tree. The need for high-level flow analysis arises from several aspects of recent work on advanced methods of program certification and optimization. This paper proposes a simple general method of high-level data flow analysis that allows free use of escape and jump statements, avoids large graphs when compiling large programs, facilitates updating of data flow information to reflect program changes, and derives new global information helpful in solving many familiar global flow analysis problems. An illustrative application to live variable analysis is presented. Many of the graphs involved are constructed and analyzed before any programs are compiled, thus avoiding certain costs that low-level methods incur repeatedly at compile time.

Publisher

Association for Computing Machinery (ACM)

Subject

General Computer Science

Cited by 33 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Passive code in synchronous programs;ACM Transactions on Embedded Computing Systems;2014-01

2. Syntax-Directed Divide-and-Conquer Data-Flow Analysis;Programming Languages and Systems;2014

3. Automatic Parallelization: An Overview of Fundamental Compiler Techniques;Synthesis Lectures on Computer Architecture;2012-01-28

4. Automatic extraction of function bodies from software binaries;Proceedings of the 2005 conference on Asia South Pacific design automation - ASP-DAC '05;2005

5. Program analysis with partial transfer functions;ACM SIGPLAN Notices;1999-11

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