Name: MADE-WIC: Multiple Annotated Datasets for Exploring Weaknesses In Code
Keywords: Software Engineering (cs.SE), FOS: Computer and information sciences, Computer Science - Software Engineering, vulnerabilities, dataset annotation, security, SATD, Computer Science, Information and General Works::005: Computer Programming, Programs, Data and Security

descriptionPublicationkeyboard_double_arrow_right Article , Conference object , Preprint 27 Oct 2024Embargo end date: 01 Jan 2024Publisher:ACMJournal:Proceedings of the 39th IEEE/ACM International Conference on Automated Software Engineering

Authors: Mock, Moritz; Melegati, Jorge; Kretschmann, Max; Díaz Ferreyra, Nicolás; Russo, Barbara;

doi: 10.1145/3691620.3695348 , 10.48550/arxiv.2408.05163 , 10.15480/882.14171

arXiv: 2408.05163

MADE-WIC: Multiple Annotated Datasets for Exploring Weaknesses In Code

- Summary
- Subjects
- Metrics

Abstract

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.

Accepted at ASE@Tool Demonstrations

Related Organizations

Hamburg University of Technology
Germany
Deutsche Forschungsgemeinschaft
Germany
Free University of Bozen-Bolzano
Italy
Hamburg University of Technology. Library
Germany
Hamburg University of Technology. Computer Center
Germany

Keywords

Software Engineering (cs.SE), FOS: Computer and information sciences, Computer Science - Software Engineering, vulnerabilities, dataset annotation, security, SATD, Computer Science, Information and General Works::005: Computer Programming, Programs, Data and Security

Impact byBIP!

	selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	3
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Top 10%
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average

Found an issue? Give us feedback

Top 10%

Average

Green

hybrid