Stack Trace Management is a systematic approach within error handling that involves the capture, analysis, and utilization of call stack information to diagnose and resolve software execution errors.
16
Publications
789
Citations
47
Authors
21
Institutions
Publications per year
2017–2026
4
Parents
Publications
16
CrashScope: A Practical Tool for Automated Testing of Android Applications
Kevin Moran, Mario Linares‐Vásquez, Carlos Bernal-Cárdenas et al. · 2017 · 83 citations · Full text
Michael D. Bond, Nicholas Nethercote, Stephen W. Kent et al. · 2007 · 63 citations
1–5 of 16
Authors
47
- DP
3
h-index
- CB
2
h-index
- BA
2
h-index
- MD
2
h-index
- SW
2
h-index
1–5 of 47
Institutions
21
William & Mary
Williamsburg, United States
4 h-index
17 publications
1.2K citations
Williams (United States)
Tulsa, United States
3 h-index
12 publications
596 citations
Hong Kong University of Science and Technology
Hong Kong, Hong Kong
3 h-index
7 publications
327 citations
Tufts University
Medford, United States
2 h-index
2 publications
75 citations
Data61
Sydney, Australia
2 h-index
2 publications
75 citations
The University of Texas at Austin
Austin, United States
2 h-index
6 publications
225 citations
University of Coimbra
Coimbra, Portugal
2 h-index
6 publications
306 citations
Universidad de Los Andes
Bogotá, Colombia
1 h-index
1 publications
83 citations
1–8 of 21
Venues
- Digital Investigation
1 publications · 21 citations
1
h-index
- Journal of Systems and Software
JSS · 1 publications · 43 citations
1
h-index
- Radboud Repository (Radboud University)
Repository · 1 publications · 36 citations
1
h-index
- IEEE Transactions on Software Engineering
TSE · 1 publications · 75 citations
1
h-index
- ACM SIGPLAN Notices
1 publications · 12 citations
1
h-index
1–5