LLM Generated Code Vulnerability Analysis
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CSIQ: A Synthesized Dataset of Code Smells, Issues and Quality related Artifacts from Open Source Repositories
Published in Mendeley Data, 2022
The dataset contains quality, source code metrics information of 60 versions under 10 different repositories. The dataset is extracted into 3 levels: (1) Class (2) Method (3) Package. The dataset is created upon analyzing 9,420,246 lines of code and 173,237 classes. The provided dataset contains one quality_attributes folder and three associated files: repositories.csv, versions.csv, and attribute-details.csv.
Recommended citation: Reza, Sayed Mohsin; Mahmud, Saif Uddin ; Rahad, Khandoker; Badreddin, Omar (2022), “CSIQ: A Synthesized Dataset of Code Smells, Issues and Quality related Artifacts from Open Source Repositories”, Mendeley Data, V5, doi: 10.17632/77p6rzb73n.5
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