Software Failure Detection
Software Failure Detection is a systematic process that identifies deviations in software behavior indicative of faults or errors, distinguishing it from hardware-based or network-centric failure detection by focusing exclusively on anomalies originating within software components or execution environments.
232
Publications
14K
Citations
544
Authors
241
Institutions
Publications per year
2017–2026
34
Parents
232
Mining metrics to predict component failures
Nachiappan Nagappan, Thomas Ball, Andreas Zeller · 2006 · 779 citations
Locating causes of program failures
Holger Cleve, Andreas Zeller · 2005 · 554 citations
Why software fails [software failure
Robert Charette · IEEE Spectrum · 2005 · 507 citations
1–5 of 232
544
8
h-index
6
h-index
5
h-index
University of Illinois Urbana-Champaign, United States
5 publications · 142 citations
5
h-index
5
h-index
1–5 of 544
241
University of Illinois Urbana-Champaign
Urbana, United States
14 h-index
45 publications
3.8K citations
Microsoft (United States)
Redmond, United States
11 h-index
17 publications
2.5K citations
Georgia Institute of Technology
Atlanta, United States
10 h-index
20 publications
1K citations
University of California, Irvine
Irvine, United States
6 h-index
10 publications
745 citations

Saarland University
Saarbrücken, Germany
6 h-index
10 publications
2.3K citations

University of Waterloo
Waterloo, Canada
6 h-index
16 publications
385 citations
Bell (Canada)
Montreal, Canada
5 h-index
16 publications
399 citations
Carnegie Mellon University
Pittsburgh, United States
5 h-index
8 publications
250 citations
1–8 of 241
TSE · 14 publications · 1.9K citations
14
h-index
10 publications · 380 citations
10
h-index
JSS · 6 publications · 279 citations
6
h-index
4 publications · 239 citations
4
h-index
SEN · 4 publications · 545 citations
4
h-index
1–5