Published January 26, 2021
| Version v1
Dataset
Open
QScored: A Large Dataset of Code Smells and Quality Metrics
Creators
Description
The dataset contains code quality information of more than 86 thousand GitHub repositories containing more than 1.1 billion lines of code mainly written in C# and Java. The code quality information contains detected 7 kinds of architecture smells, 19 kinds of design smells, and 11 kinds of implementation smells, and 27 commonly used code quality metrics computed at project, package, class, and method levels.
Files
README.txt
Files
(40.8 GB)
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md5:a2093935f192dff08dc9992a97e061ae
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md5:54585a08371ea267d54ca59901e3ce36
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5.2 GB | Download |
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md5:e51fb50d733fe3b45dc2da39e9c4cbb8
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5.2 GB | Download |
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md5:2b373630ed879707faff64b471ec9b4e
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5.2 GB | Download |
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md5:51e0dcf91ba85b0b7d09fba41b083a5e
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5.2 GB | Download |
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md5:b47c55405d6d0286cce5441f4e7680da
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4.1 GB | Download |
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md5:3ac09ee49c71cb45d8d9d1b1f83e7e3b
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474 Bytes | Preview Download |