2021•Unpublished venueRequires access

Analysis of the Tools for Static Code Analysis

Danilo Nikolić, Darko Stefanović, Dušanka Dakić, Srdjan Sladojević, Sonja Ristić

Open publisher page 19 citations

Abstract

Static code analysis tools are being increasingly used to improve code quality. Such tools can statically analyze the code to find bugs, security vulnerabilities, security spots, duplications, and code smell. Various software tools are being developed to support developers in conducting static code analysis. In this paper, three tools to support static code analysis were analyzed and evaluated using the DESMET methodology. The tools were selected by conducting a systematic literature review in the field of static code analysis.

About this research paper

What this paper is about

Static code analysis tools are being increasingly used to improve code quality. Such tools can statically analyze the code to find bugs, security vulnerabilities, security spots, duplications, and code smell. Various software tools are being developed to support developers in conducting static code analysis. In this paper, three tools to support static code analysis were analyzed and evaluated using the DESMET methodology. The tools were selected by conducting a systematic literature review in the field of static code analysis.

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OpenAlex reports 19 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

Static code analysis tools are being increasingly used to improve code quality. Such tools can statically analyze the code to find bugs, security vulnerabilities, security spots, duplications, and code smell. Various software tools are being developed to support developers in conducting static code analysis. In this paper, three tools to support static code analysis were analyzed and evaluated using the DESMET methodology. The tools were selected by conducting a systematic literature review in the field of static code analysis.

Key concepts: Static analysis, Static program analysis, Computer science, Code review, KPI-driven code analysis, Code (set theory), Software quality, Programming language

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