Development nature matters: An empirical study of code clones in JavaScript applications

Cheung, Wai Ting; Ryu, Sukyoung; Kim, Sunghun

doi:10.1007/s10664-015-9368-6

Cited by 23 publications

(9 citation statements)

References 89 publications

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“…Asta [85,86], CCCD [109,110], clones/cscope [71], cpdetector [71,73], DuDe [45], Dup [21,22,23], DupLoc [25,26], FRISC [117], Scorpio [157] NiCad [47,48,49,50,51], SimCad [57,58], Zibran and Roy [83,84], JSCD [118] c Quality Reference Corpus 12…”

Section: Results Ranked By Their Measurement Of Recallmentioning

confidence: 99%

A Survey on the Evaluation of Clone Detection Performance and Benchmarking

Svajlenko,

Roy

2020

Preprint

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Section: Results Ranked By Their Measurement Of Recallmentioning

confidence: 99%

A Survey on the Evaluation of Clone Detection Performance and Benchmarking

Svajlenko,

Roy

2020

Preprint

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“…To make more comparison of the performance of Type-1 clones in detecting cloned co-change candidates, we added Duplo in our study. We included Simian [36] in our analysis because of its ability to find cloned codes by line-by-line textual comparison supporting identifier renaming with a fast detection speed on the large repository and widespread use in several related studies [37,38,39,40,41]. NiCad, SimCAD, and Simian extract cloned code fragments from a software system's codebase using textual similarity among different code pieces.…”

Section: Selecting the Clone Detectorsmentioning

confidence: 99%

Evaluating the Performance of Clone Detection Tools in Detecting Cloned Co-change Candidates

Nadim,

Mondal,

Roy

et al. 2022

Preprint

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Co-change candidates are the group of code fragments that require a change if any of these fragments experience a modification in a commit operation during software evolution. The cloned co-change candidates are a subset of the cochange candidates, and the members in this subset are clones of one another. The cloned co-change candidates are usually created by reusing existing code fragments in a software system. Detecting cloned co-change candidates is essential for clone-tracking, and studies have shown that we can use clone detection tools to find cloned co-change candidates. However, although several studies evaluate clone detection tools for their accuracy in detecting cloned fragments, we found no study that evaluates clone detection tools for detecting cloned co-change candidates. In this study, we explore the dimension of code clone research for detecting cloned co-change candidates. We compare the performance of 12 different configurations of nine promising clone detection tools in identifying cloned co-change candidates from eight open-source C and Java-based subject systems of various sizes and application domains. A ranked list and analysis of the results provides valuable insights and guidelines into selecting and configuring a clone detection tool for identifying co-change candidates and leads to a new dimension of code clone research into change impact analysis.

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“…Cheung, Ryu and Kim [18] developed JSCD (JavaScript Clone Detector) which is a tool to detect clones in JavaScript. Their research also provides a comprehensive review of tools and research done for clone detection specifically focused on JavaScript.…”

Section: Overview Of Javascript Clone Detection Techniquesmentioning

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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Development nature matters: An empirical study of code clones in JavaScript applications

Cited by 23 publications

References 89 publications

A Survey on the Evaluation of Clone Detection Performance and Benchmarking

A Survey on the Evaluation of Clone Detection Performance and Benchmarking

Evaluating the Performance of Clone Detection Tools in Detecting Cloned Co-change Candidates

Clone Detection Techniques for JavaScript and Language Independence: Review

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