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Numerical static analysis with Soot

Gianluca Amato, Simone Di Nardo Di Maio, Francesca Scozzari

Open publisher page 10 citations

Abstract

Numerical static analysis computes an approximation of all the possible values that a numeric variable may assume, in any execution of the program. Many numerical static analyses have been proposed exploiting the theory of abstract interpretation, which is a general framework for designing provably correct program analysis. The two main problems in analyzing numerical properties are: choosing the right level of abstraction (the abstract domain) and developing an efficient iteration strategy which computes the analysis result guaranteeing termination and soundness.

About this research paper

What this paper is about

Numerical static analysis computes an approximation of all the possible values that a numeric variable may assume, in any execution of the program. Many numerical static analyses have been proposed exploiting the theory of abstract interpretation, which is a general framework for designing provably correct program analysis. The two main problems in analyzing numerical properties are: choosing the right level of abstraction (the abstract domain) and developing an efficient iteration strategy which computes the analysis result guaranteeing termination and soundness.

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OpenAlex reports 10 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

Numerical static analysis computes an approximation of all the possible values that a numeric variable may assume, in any execution of the program. Many numerical static analyses have been proposed exploiting the theory of abstract interpretation, which is a general framework for designing provably correct program analysis. The two main problems in analyzing numerical properties are: choosing the right level of abstraction (the abstract domain) and developing an efficient iteration strategy which computes the analysis result guaranteeing termination and soundness.

Key concepts: Abstract interpretation, Soundness, Static analysis, Computer science, Abstraction, Numerical analysis, Program analysis, Variable (mathematics)

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