Source-Binary Correspondence Analysis is a reverse engineering methodology that identifies and establishes precise semantic and structural mappings between high-level source code and its corresponding low-level compiled binary representation to facilitate vulnerability discovery.
6
Publications
359
Citations
15
Authors
6
Institutions
Publications per year
2017–2026
1
Publications
6
Substring matching for clone detection and change tracking
Johnson · 1994 · 201 citations
Multivariate visualization in observation-based testing
Andy Podgurski, Lee White · 2000 · 51 citations
Caroline Tice, Susan L. Graham · 1998 · 28 citations
1–5 of 6
Authors
15
- AP
2
h-index
- SW
1
h-index
- OK
1
h-index
- WZWenxin Zheng
The University of Texas Southwestern Medical Center, United States
1 publications · 46 citations
1
h-index
- JW
1
h-index
1–5 of 15
Institutions
6
Case Western Reserve University
Cleveland, United States
2 h-index
4 publications
138 citations
National Academies of Sciences, Engineering, and Medicine
Washington, United States
1 h-index
1 publications
201 citations
Tencent (China)
Shenzhen, China
1 h-index
4 publications
184 citations
University of California, Berkeley
Berkeley, United States
1 h-index
2 publications
56 citations
National Research Council Canada
Ottawa, Canada
1 h-index
1 publications
201 citations
University of Waterloo
Waterloo, Canada
1 h-index
3 publications
45 citations
1–6 of 6
Venues
- Neural Information Processing Systems
Conference · 1 publications · 46 citations
1
h-index
- Proceedings of the 2000 International Conference on Software Engineering. ICSE 2000 the New Millennium
Conference · 1 publications · 18 citations
1
h-index
1–2