LICCA: A tool for cross-language clone detection

Vislavski, Tijana; Rakic, Gordana; Cardozo, Nicolás; Budimac, Zoran

doi:10.1109/saner.2018.8330250

Cited by 39 publications

(43 citation statements)

References 11 publications

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“…Cross language clone detection aims to detect clones that perform similarly in two different programming languages. A tool named LICCA (Language Independent Code Clone Analyzer) was developed by Raki, Cardozo and Budimac [13] to detect cross language clones. LICCA aims to test source code similar in structure and syntax.…”

Section: B Cross-language Clone Detectionmentioning

confidence: 99%

Clone Detection Techniques for JavaScript and Language Independence: Review

Alfageh¹,

Alhakami²,

Baz³

et al. 2020

IJACSA

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Code clone detection is an active field of study in computer science. Despite its rich history, it lacks focus on web scripting languages. Due to the expansion of web applications and web development amongst developers of varying education and experience levels, they inevitably resort to cloning through out the web. The spread of code clones is further increased by websites like StackOverflow and GitHub. In this paper, we will be focusing on clone detection research done to target clones in JavaScript code and discuss its areas of concern. Also, we will summarize language independent research done and possibility of its application on JavaScript and web applications.

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Section: B Cross-language Clone Detectionmentioning

confidence: 99%

Clone Detection Techniques for JavaScript and Language Independence: Review

Alfageh¹,

Alhakami²,

Baz³

et al. 2020

IJACSA

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“…Code clones can be detected by using different CCD approaches. One of them is textual approaches, they detect type1 clones more effectively [64]. However, these approaches can also identify type2 and type3 clones [8].…”

Section: ) Textual Approachesmentioning

confidence: 99%

“…The research studies that particularly deal with CCD based on lexical approaches are placed under this category. Lexical approaches are also known as token-based approaches and able to identify type 2 clones efficiently [64]. However, they can also uncover type1 and type3 clones [8].…”

Section: ) Lexical Approachesmentioning

confidence: 99%

“…This category consists of the studies that are dealing with CCD using tree-based approaches. They are most effective for the detection of type3 clones [64]. However, they have the ability to detect type1, type2, and type4 clones [8].…”

Section: ) Tree-based Approachesmentioning

confidence: 99%

“…The research studies in which code clones are detected by utilizing metric-based approaches are placed under this category. They can detect type3 clones effectively [64]. However, they can also uncover type1, type2 and type4 clones.…”

Section: ) Metric Based Approachesmentioning

confidence: 99%

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A Systematic Review on Code Clone Detection

et al. 2019

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Code cloning refers to the duplication of source code. It is the most common way of reusing source code in software development. If a bug is identified in one segment of code, all the similar segments need to be checked for the same bug. Consequently, this cloning process may lead to bug propagation that significantly affects the maintenance cost. By considering this problem, code clone detection (CCD) appears as an active area of research. Consequently, there is a strong need to investigate the latest techniques, trends, and tools in the domain of CCD. Therefore, in this paper, we comprehensively inspect the latest tools and techniques utilized for the detection of code clones. Particularly, a systematic literature review (SLR) is performed to select and investigate 54 studies pertaining to CCD. Consequently, six categories are defined to incorporate the selected studies as per relevance, i.e., textual approaches (12), lexical approaches (8), treebased approaches (3), metric-based approaches (7), semantic approaches (7), and hybrid approaches (17). We identified and analyzed 26 CCD tools, i.e., 13 existing and 13 proposed/developed. Moreover, 62 opensource subject systems whose source code is utilized for the CCD are presented. It is concluded that there exist several studies to detect type1, type2, type3, and type4 clones individually. However, there is a need to develop novel approaches with complete tool support in order to detect all four types of clones collectively. Furthermore, it is also required to introduce more approaches to simplify the development of a program dependency graph (PDG) while dealing with the detection of the type4 clones.INDEX TERMS CCD, SLR, code clone detection, CCD tools, code clone types.

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Development of Porting Analyzer to Search Cross-Language Code Clones Using Levenshtein Distance

Ankali

Parthiban

2021

Smart Computing Techniques and Applications

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LICCA: A tool for cross-language clone detection

Cited by 39 publications

References 11 publications

Clone Detection Techniques for JavaScript and Language Independence: Review

Clone Detection Techniques for JavaScript and Language Independence: Review

A Systematic Review on Code Clone Detection

Development of Porting Analyzer to Search Cross-Language Code Clones Using Levenshtein Distance

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