{"url": "http://mondego.ics.uci.edu/projects/dejavu/", "content": "\n\n\n\n \n \n \n\n \n \n \n \n \n\n D\u00e9j\u00e0Vu\n\n \n \n\n \n \n\n\n\n\n\n \n \n\n \n
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D\u00e9j\u00e0Vu: A Map of Code Duplicates on GitHub

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Code cloning is serious and ubiquitous. Are you affected?

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This work analyzes a corpus of 4.5 million million non-fork projects hosted on GitHub representing over 428 million files written in Java, C++, Python, and JavaScript.

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We found that this corpus has a mere 85 million unique files. In other words, 70% of the code on GitHub consists of clones of previously created files.

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We have created a mapping between file clones in four languages: Java, C++, JavaScript and Python. This is useful systems built on open source software as well as for researchers interested in analyzing large code bases.

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In this website you can find how to access the code clone mapping, through a web service or direct access to a database, how to download the clone mapping and how to access the source code used to create it.

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D\u00e9j\u00e0Vu Web App

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We provide a web-service for clones information retrieval and easy source code/projects/datasets analysis.

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This service is ongoing work and depends on community feedback. We are happy to implement functionalities you require.

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Access to the Code Clone Mapping

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You can directly download the data for each language individually:

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If you want access to the dumps through a different process we will do our best to suit your needs (come visit us and bring a hard drive!). Contact us, we like to talk.

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Software used to create the Clone Mapping

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The software used to create this mapping can be found on GitHub here and here.

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We also created an artifact in the form of a VirtualBox virtual machine, which provides a quick access to the pipeline through a guided tutorial, and can be found here. The password is p. 8.7Gb

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Teams

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Quick Information

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You can find the accepted paper here.

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This website supports a research project about code cloning on GitHub, accepted for publication at OOPSLA'17 (Distinguished Award at OOPSLA).

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As seen on the press:

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Today, \u201cThe Morning Paper\u201d looks at \u201cD\u00e9j\u00e0vu: A Map of Code Duplicates on Github,\u201d from OOPSLA \u201917, which analyzes "482 million files written in Java, C++, Python, and JavaScript. W.\u201d

Read in \u201cThe Morning Paper\u201d: https://t.co/VG1lWDVt8D

Read the paper: https://t.co/4GCauHzvmG pic.twitter.com/Quk6LCmVqX

— Official ACM (@TheOfficialACM) 20 de novembro de 2017
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