Stack Trace Analysis
Stack Trace Analysis is a debugging method that identifies and examines the sequence of function calls active in a program at a given point in execution to diagnose faults by revealing the hierarchical context of runtime errors.
59
Publications
2.8K
Citations
174
Authors
76
Institutions
Publications per year
2017–2026
16
Variants
Call Stack Analysis
Parents
59
Performance debugging in the large via mining millions of stack traces
Shi Han, Yingnong Dang, Ge Song et al. · 2012 · 168 citations
Do stack traces help developers fix bugs?
Adrian Schröter, Adrian Schröter, Nicolas Bettenburg et al. · 2010 · 156 citations · Full text
Stack Trace Analysis for Large Scale Debugging
Dorian Arnold, Dong H. Ahn, Bronis R. de Supinski et al. · 2007 · 153 citations · Full text
CrashLocator: locating crashing faults based on crash stacks
Rongxin Wu, Hongyu Zhang, Shing-Chi Cheung et al. · 2014 · 140 citations
1–5 of 59
174
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Lawrence Livermore National Laboratory, United States
5 publications · 263 citations
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5
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5
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4
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1–5 of 174
76

Concordia University
Montreal, Canada
5 h-index
9 publications
290 citations
Microsoft (United States)
Redmond, United States
4 h-index
8 publications
508 citations

Lawrence Livermore National Laboratory
Livermore, United States
4 h-index
16 publications
1K citations
North Carolina State University
Raleigh, United States
4 h-index
8 publications
433 citations
University of Wisconsin–Madison
Madison, United States
4 h-index
12 publications
604 citations

Delft University of Technology
Delft, The Netherlands
4 h-index
11 publications
341 citations
University of California, Berkeley
Berkeley, United States
3 h-index
4 publications
277 citations

Hong Kong University of Science and Technology
Hong Kong, Hong Kong
3 h-index
8 publications
693 citations
1–8 of 76
TSE · 2 publications · 165 citations
2
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2 publications · 30 citations
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2 publications · 55 citations
2
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Repository · 2 publications · 45 citations
2
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Conference · 1 publications · 17 citations
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1–5