Dynamic Concurrency Analysis
Dynamic Concurrency Analysis is a methodological framework within concurrency analysis that dynamically monitors and evaluates the execution behavior of concurrent programs to detect, analyze, and diagnose concurrency-related errors during runtime.
45
Publications
2.5K
Citations
107
Authors
54
Institutions
Publications per year
2017–2026
6
Parents
45
Cormac Flanagan, Stephen N. Freund · 2004 · 411 citations
Automatically classifying benign and harmful data races using replay analysis
Satish Narayanasamy, Zhenghao Wang, Jordan Tigani et al. · 2007 · 256 citations
Cormac Flanagan, Stephen N. Freund, Jaeheon Yi · 2008 · 224 citations
A randomized dynamic program analysis technique for detecting real deadlocks
Pallavi Joshi, Chang‐Seo Park, Koushik Sen et al. · 2009 · 190 citations
1–5 of 45
107
6
h-index
5
h-index
4
h-index
4
h-index
3
h-index
1–5 of 107
54
University of California, Santa Cruz
Santa Cruz, United States
7 h-index
11 publications
1.2K citations
Williams College
Williamstown, United States
5 h-index
5 publications
850 citations
Intel (United States)
Santa Clara, United States
4 h-index
6 publications
517 citations
ETH Zurich
Zurich, Switzerland
4 h-index
16 publications
522 citations
University of California, Berkeley
Berkeley, United States
4 h-index
10 publications
959 citations
University of California San Diego
San Diego, United States
3 h-index
3 publications
380 citations
Microsoft (United States)
Redmond, United States
3 h-index
10 publications
1.2K citations

Chinese Academy of Sciences
Beijing, China
2 h-index
5 publications
159 citations
1–8 of 54
6 publications · 160 citations
6
h-index
PVLDB · 1 publications · 27 citations
1
h-index
JEA · 1 publications · 118 citations
1
h-index
TPDS · 1 publications · 13 citations
1
h-index
Conference · 1 publications · 19 citations
1
h-index
1–5