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4 edition of Two approaches to interprocedural data flow analysis. found in the catalog.

Two approaches to interprocedural data flow analysis.

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Published by Courant Institute of Mathematical Sciences, New York University in New York .
Written in English


Edition Notes

StatementBy Micha Sharir and Amir Pnueli.
ContributionsPnueli, A.
The Physical Object
Paginationv. p.
ID Numbers
Open LibraryOL17981006M

Shapiro, M. and Horwitz, S. b. Fast and accurate flow-insensitive points-to analysis. In Proceedings of the Symposium on Principles of Programming Languages. ]] Google Scholar; Sharir, M. and Author: MilanovaAna, RountevAtanas, G RyderBarbara. The intraprocedural algorithm can mark potential stale references without relying on any cache invalidation or inlining at procedure boundaries, thus avoiding unnecessary cache misses for Cited by: 4. program flow analysis methods, such as data-flow analysis, to enable these methods to detect a larger class of errors than they can uncover at the present time [18]. This paper describes some information .


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Two approaches to interprocedural data flow analysis. by Micha Sharir Download PDF EPUB FB2

Two Approaches to Interprocedural Data Flow Analysis [Micha, Sharir] on *FREE* shipping on qualifying offers. Micha, Sharir: : BooksFormat: Paperback. Full text of "Two approaches to interprocedural data flow analysis" See other formats l?Ks.

More precisely, we use flow-sensitive, interprocedural and context-sensitive data flow analysis to discover vulnerable points in a program. In addition, alias and literal analysis are employed to improve the. Two approaches to interprocedural data flow analysis Item Preview remove-circle Two approaches to interprocedural data flow analysis by Sharir, Micha; Pnueli, A.

Publication date Pages: CS Interprocedural DFA: Issues in Interprocedural Analysis 3/86 Interprocedural Analysis: Overview • Extends the scope of data flow analysis across procedure boundaries Incorporates the effects of.

Data-flow analysis is a technique for gathering information about the possible set of values calculated at various points in a computer program.A program's control flow graph (CFG) is used to determine.

Interprocedural Data Flow Analysis in Soot using Value Contexts Rohan Padhye Indian Institute of Technology Bombay [email protected] Two approaches to interprocedural dataflow File Size: KB. The Program Summary Graph and Flow-sensitive Interprocedural Data Flow Analysis David Callahan Department of Computer Science P.O.

Box Rice University Houston, Texas 1 Cited by: Data flow analysis is a process for collecting information about the use, definition, and dependencies of data in programs. The data flow analysis algorithm operates on a CFG generated from an AST.

You. Interprocedural optimization (IPO) is a collection of compiler techniques used in computer programming to improve performance in programs containing many frequently used functions of small or medium. Abstract. The techniques used to implement (non-trivial) interprocedural data flow analyzers can be generally divided into two subsets: the call string approach and the functional approach as presented Cited by: Abstract.

Many interprocedural static analyses perform a lossy join for reasons of termination or efficiency. We study the relationship between two predominant approaches to interprocedural Cited by: 6. The ideas presented here are from a paper called "Two Approaches to Interprocedural Analysis", by Micha Sharir and Amir Pnueli, in a book called Program Flow Analysis, Theory and applications.

Interprocedural Analysis Using Value Contexts The tabulation method of the functional approach [11] and the modified call strings approach [5] both revolve around the same key idea: if two or more calls File Size: KB.

Robert Charles Metzger, in Debugging by Thinking, Technology. Interprocedural control- and data-flow analysis are essential to compute useful slices. CodeSurfer does both. To understand C.

This work provides an in-depth treatment of data flow analysis technique. Apart from including interprocedural data flow analysis, this book is the first to extend detailed coverage of analysis.

The second stage is an inter-procedural data-flow analysis, similar to the classical Available Expressions. Two approaches to interprocedural dataflow analysis.

and most precise method of. Abstract. Many interprocedural static analyses perform a lossy join for reasons of termination or e ciency. We study the relationship between two predominant approaches to interprocedural analysis, the.

Data flow analysis is used to discover information for a wide variety of useful applications, ranging from compiler optimizations to software engineering and verification. Modern compilers apply it to produce. 82 Interprocedural Data Flow Analysis Figure ICFG with data dependence procedure.

Therefore control dependence is computed only intraprocedural, where the edges between call nodes and their. Interprocedural Data Flow Analysis and its handout version (4 pages in 1 page).

A summary of the course and its handout version (4 pages in 1 page). is a pdf version of errata and a ps version. for some part of the analysis phase of the compiler to compute this range information for label variables before standard data flow analysis is performed.

RELATED WORK Very little work has been done. language).Most papers on Data Flow Analysis (e.g. [23,13]) do not consider rst-class proce-dures and therefore have no need for a component akin to Control Flow Analysis | a no-table exception to this is.

Interprocedural-Control-Flow-Graph 5 Interprocedural Realizable Paths 77 Figure Interprocedural control flow graph Interprocedural Realizable Paths In the intraprocedural case all paths inthe. For the Love of Physics - Walter Lewin - - Duration: Lectures by Walter Lewin.

They will make you ♥ Physics. Recommended for you. Sharir and A. Pnueli. Two Approaches to Interprocedural Data Flow Analysis. In Program Flow Analysis: Theory and Applications.

Muchnick and N. Jones (Ed.) Prentice-Hall Inc. Sep. Data-flow Analysis Idea – Data-flow analysis derives information about the dynamic behavior of a program by only examining the static code CS Lecture Introduction to Data-flow Analysis 5 1 a:= File Size: KB.

On shortest paths in polyhedral spaces by Sharir, Micha at - the best online ebook storage. Download and read online for free On shortest paths in polyhedral spaces by Sharir, Micha3/5(5). Mod Lec Data-flow Analysis-Part 2 - Duration: #58 Interprocedural Data Flow Analysis - Duration: SEPL Goethe University Frankfurt 3, views.

General Approaches to Designing and Analysing Data Two generic and widely used approaches to the analysis of qualitative data as they are collected will be illustrated in depth through preliminary data File Size: KB. Existing methods for alias analysis of recursive pointer data structures are based on two approximation techniques: k-limiting, and store-based (or equivalently location or region-based) approximations, Cited by: 5.

The aim of Control Flow Analysis: For each function application, which functions may be applied. Control Flow Analysis computes the interprocedural flow relation used when formulating interprocedural Data.

cs 5 Call Graph construction Interprocedural analysis must model how procedures call each other Two approaches: call graph and interprocedural control flow graph Call Graph: G=(N,E) model call. A Practical Framework for Demand-Driven Interprocedural Data Flow Analysis ysis comes an increased concern about the high time and space requirements of computing and maintaining the data.

analysis. [Example will be given in class] Things become more challenging in the presence of recursive functions, or more generally mu-tual recursion. Let us consider context-sensitive interprocedural File Size: KB. Kasami[] “An efficient recognition and syntax analysis algorithm for context-free languages” Knuth[] “On the translation of languages from left to right”, pp.

title = {Two approaches to interprocedural data flow analysis}, booktitle = {Program Flow Analysis: Theory and Applications}, editor = {Muchnick and Jones}, publisher = {Prentice Hall International}, year =. The two methods lead to an important conclusion: Using data flow values as contexts of analysis can avoid re-analysis of proce-dure bodies.

We make this idea explicit by defining a value context X = Author: Rohan Padhye, Uday P. Khedker. • Data flow analysis abstraction: –For each point in the program: combines information of all the instances of the same program point. • Example of a data flow question: –Which definition defines the value.

This note is a review of the book "Principles of Program Analysis," to help understand the narrative. The book uses a method of description this is needlessly too-complex. The basic approach /5.

considered a flexible approach to interprocedural flow analysis and programs with recursive data structures [Jones & Muchnik Cooper and Kennedy reformulated the algorithms of Banning and .CiteSeerX - Document Details (Isaac Councill, Lee Giles, Pradeep Teregowda).

We show that recent progress in extending the automatatheoretic approach to model-checking beyond the class of finite .Analyzing data flow; Examining the results of Dataflow analysis. Dataflow to Here; Dataflow from Here; Introduction.

IntelliJ IDEA provides Dataflow Analysis features to help you with code archeology - .