2001Unpublished venueRequires access

Bebop

Thomas Ball, Sriram K. Rajamani

Open publisher page 81 citations

Abstract

Flow-sensitive data analyses can lose precision because they assume that all paths in a control-flow graph are executable (feasible). Path-sensitive dataflow analyses can rule out infeasible paths by tracking correlations between dataflow facts. To track such correlations, in general, requires recording a set of sets of facts per statement in a program. Naive representation of such sets can lead to a very high memory consumption and running time.

About this research paper

What this paper is about

Flow-sensitive data analyses can lose precision because they assume that all paths in a control-flow graph are executable (feasible). Path-sensitive dataflow analyses can rule out infeasible paths by tracking correlations between dataflow facts. To track such correlations, in general, requires recording a set of sets of facts per statement in a program. Naive representation of such sets can lead to a very high memory consumption and running time.

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OpenAlex reports 81 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

Flow-sensitive data analyses can lose precision because they assume that all paths in a control-flow graph are executable (feasible). Path-sensitive dataflow analyses can rule out infeasible paths by tracking correlations between dataflow facts. To track such correlations, in general, requires recording a set of sets of facts per statement in a program. Naive representation of such sets can lead to a very high memory consumption and running time.

Key concepts: Dataflow, Computer science, Executable, Control flow graph, Data-flow analysis, Data flow diagram, Control flow, Graph

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