MADE-WIC: Multiple Annotated Datasets for Exploring Weaknesses In Code
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-MIC 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.
Thu 31 OctDisplayed time zone: Pacific Time (US & Canada) change
10:30 - 12:00 | Vulnerability and security2NIER Track / Research Papers / Tool Demonstrations at Magnoila Chair(s): Yiming Tang Rochester Institute of Technology | ||
10:30 15mTalk | Coding-PTMs: How to Find Optimal Code Pre-trained Models for Code Embedding in Vulnerability Detection? Research Papers Yu Zhao , Lina Gong Nanjing University of Aeronautics and Astronautic, Zhiqiu Huang Nanjing University of Aeronautics and Astronautics, Yongwei Wang Shanghai Institute for Advanced Study and College of Computer Science, Zhejiang University, Mingqiang Wei School of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Fei Wu College of Computer Science and Technology in Zhejiang University | ||
10:45 15mTalk | STASE: Static Analysis Guided Symbolic Execution for UEFI Vulnerability Signature Generation Research Papers Md Shafiuzzaman University of California at Santa Barbara, Achintya Desai University of California Santa Barbara, Laboni Sarker University of California at Santa Barbara, Tevfik Bultan University of California at Santa Barbara | ||
11:00 15mTalk | Effective Vulnerable Function Identification based on CVE Description Empowered by Large Language Models Research Papers Yulun Wu Huazhong University of Science and Technology, Ming Wen Huazhong University of Science and Technology, Zeliang Yu Huazhong University of Science and Technology, Xiaochen Guo Huazhong University of Science and Technology, Hai Jin Huazhong University of Science and Technology | ||
11:15 15mTalk | COBRA: Interaction-Aware Bytecode-Level Vulnerability Detector for Smart Contracts Research Papers Wenkai Li Hainan University, Xiaoqi Li Hainan University, Zongwei Li Hainan University, Yuqing Zhang University of Chinese Academy of Sciences; Zhongguancun Laboratory Link to publication DOI Pre-print Media Attached | ||
11:30 10mTalk | MADE-WIC: Multiple Annotated Datasets for Exploring Weaknesses In Code Tool Demonstrations Moritz Mock Free University of Bozen-Bolzano, Jorge Melegati Free University of Bozen-Bolzano, Max Kretschmann Hamburg University of Technology, Nicolás E. Díaz Ferreyra Hamburg University of Technology, Barbara Russo Free University of Bozen/Bolzano, Italy DOI Pre-print | ||
11:40 10mTalk | The Software Genome Project: Unraveling Software Through Genetic Principles NIER Track Yueming Wu Nanyang Technological University, Chengwei Liu Nanyang Technological University, Zhengzi Xu Nanyang Technological University; Imperial Global Singapore, Lyuye Zhang Nanyang Technological University, Yiran Zhang , Zhu Zhiling Zhejiang University of Technology, Yang Liu Nanyang Technological University | ||
11:50 10mTalk | Mining for Mutation Operators for Reduction of Information Flow Control Violations NIER Track Ilya Kosorukov University College London, Daniel Blackwell University College London, David Clark University College London, Myra Cohen Iowa State University, Justyna Petke University College London | ||