1999•Unpublished venueOpen access

Symbolic pointer analysis for detecting memory leaks

Berhard Scholz, Johann Blieberger, Thomas Fahringer

Open full text 26 citations

Abstract

It is well accepted that pointers are a common source of memory anomalies such as loosing references to dynamic records without deallocating them (also known as memory leaks). This paper presents a novel pointer analysis framework that detects memory leaks by statically analyzing the behavior of programs.

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What this paper is about

It is well accepted that pointers are a common source of memory anomalies such as loosing references to dynamic records without deallocating them (also known as memory leaks). This paper presents a novel pointer analysis framework that detects memory leaks by statically analyzing the behavior of programs.

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OpenAlex reports 26 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

It is well accepted that pointers are a common source of memory anomalies such as loosing references to dynamic records without deallocating them (also known as memory leaks). This paper presents a novel pointer analysis framework that detects memory leaks by statically analyzing the behavior of programs.

Key concepts: Memory leak, Computer science, Pointer analysis, Pointer (user interface), Memory safety, Symbolic execution, Symbolic data analysis, Programming language

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