2015•Unpublished venueRequires access

Correctness of Semantic Code Smell Detection Tools.

Neeraj Narayan Mathur, Y. Raghu Reddy

Open publisher page 2 citations

Abstract

Refactoring is a set of techniques used to enhance the quality of code by restructuring existing code/design without changing its behavior. Refactoring tools can be used to detect specific code smells, propose relevant refactorings, and in some cases automate the refactoring process. However, usage of refactoring tools in industry is still relatively low. One of the major reasons being the veracity of the detected code smells, especially smells that aren’t purely syntactic in nature. We conduct an empirical study on some refactoring tools and evaluate the correctness of the code smells they identify. We analyze the level of confidence users have on the code smells detected by the tools and discuss some issues with such tools.

About this research paper

What this paper is about

Refactoring is a set of techniques used to enhance the quality of code by restructuring existing code/design without changing its behavior. Refactoring tools can be used to detect specific code smells, propose relevant refactorings, and in some cases automate the refactoring process. However, usage of refactoring tools in industry is still relatively low. One of the major reasons being the veracity of the detected code smells, especially smells that aren’t purely syntactic in nature. We conduct an empirical study on some refactoring tools and evaluate the correctness of the code smells they identify. We analyze the level of confidence users have on the code smells detected by the tools and discuss some issues with such tools.

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OpenAlex reports 2 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

Refactoring is a set of techniques used to enhance the quality of code by restructuring existing code/design without changing its behavior. Refactoring tools can be used to detect specific code smells, propose relevant refactorings, and in some cases automate the refactoring process. However, usage of refactoring tools in industry is still relatively low. One of the major reasons being the veracity of the detected code smells, especially smells that aren’t purely syntactic in nature. We conduct an empirical study on some refactoring tools and evaluate the correctness of the code smells they identify. We analyze the level of confidence users have on the code smells detected by the tools and discuss some issues with such tools.

Key concepts: Code refactoring, Code smell, Computer science, Correctness, Code (set theory), Programming language, Software engineering, Set (abstract data type)

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