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MADE-WIC: Multiple Annotated Datasets for Exploring Weaknesses In Code
Citation Link: https://doi.org/10.15480/882.14171
Publikationstyp
Conference Paper
Date Issued
2024-10-27
Sprache
English
TORE-DOI
Start Page
2346
End Page
2349
Citation
39th ACM/IEEE International Conference on Automated Software Engineering, ASE 2024
Contribution to Conference
39th ACM/IEEE International Conference on Automated Software Engineering, ASE 2024
Publisher DOI
Scopus ID
ISBN
[9798400712487]
In this paper, we present MADE-WIC, a large dataset of functions and their comments with multiple annotations for technical debt and code weaknesses leveraging different state-of-the-art approaches. It contains about 860K code functions and more than 2.7M related comments from 12 open-source projects. To the best of our knowledge, no such dataset is publicly available. MADE-WIC aims to provide researchers with a curated dataset on which to test and compare tools designed for the detection of code weaknesses and technical debt. As we have fused existing datasets, researchers have the possibility to evaluate the performance of their tools by also controlling the bias related to the annotation definition and dataset construction. The demonstration video can be retrieved at https://www.youtube.com/watch?v=GaQodPrcb6E.
Subjects
dataset annotation | SATD | security | vulnerabilities
DDC Class
005: Computer Programming, Programs, Data and Security
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