Application Log Analysis
Application Log Analysis is a methodological framework within log analysis that specifically involves the systematic examination, interpretation, and extraction of meaningful patterns, anomalies, and operational insights from application-generated log data to support software reliability, performance optimization, and fault diagnosis.
50
Publications
2.5K
Citations
166
Authors
59
Institutions
Publications per year
2017–2026
22
Parents
50
Advances and challenges in log analysis
Adam J. Oliner, Archana Ganapathi, Wei Xü · Communications of the ACM · 2012 · 288 citations
Anomaly Detection Using Program Control Flow Graph Mining From Execution Logs
Animesh Nandi, Atri Mandal, Shubham Atreja et al. · 2016 · 143 citations
LogLens: A Real-Time Log Analysis System
Biplob Debnath, Mohiuddin Solaimani, Muhammad Ali Gulzar et al. · 2018 · 109 citations
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Queen's University
Kingston, Canada
7 h-index
16 publications
947 citations
Google (United States)
Mountain View, United States
4 h-index
17 publications
645 citations
Berkeley College
New York, United States
4 h-index
11 publications
813 citations
University of Illinois Urbana-Champaign
Urbana, United States
4 h-index
12 publications
420 citations
Blackberry (Canada)
Waterloo, Canada
4 h-index
9 publications
547 citations
University of California, Berkeley
Berkeley, United States
3 h-index
7 publications
389 citations

University of Naples Federico II
Naples, Italy
2 h-index
5 publications
141 citations

Delft University of Technology
Delft, The Netherlands
2 h-index
4 publications
61 citations
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3 publications · 227 citations
3
h-index
1 publications · 86 citations
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IJMLC · 1 publications · 16 citations
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1 publications · 21 citations
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1 publications · 24 citations
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