Model-based Debugging
Model-Based Debugging is a debugging methodology that systematically identifies and resolves defects in embedded systems by leveraging a formal model of the system’s expected behavior to generate, simulate, and validate dynamic execution traces against observed outcomes.
88
Publications
3.4K
Citations
194
Authors
83
Institutions
Publications per year
2017–2026
15
Parents
88
Deep Learning Scaling is Predictable, Empirically
Joel Hestness, Sharan Narang, Newsha Ardalani et al. · arXiv (Cornell University) · 2017 · 424 citations · Full text
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Graz University of Technology
Graz, Austria
9 h-index
22 publications
760 citations

University of South Australia
Adelaide, Australia
7 h-index
14 publications
524 citations

TU Wien
Vienna, Austria
7 h-index
15 publications
500 citations

Linköping University
Linköping, Sweden
4 h-index
12 publications
230 citations

University of Massachusetts Amherst
Amherst Center, United States
3 h-index
4 publications
135 citations

University of Toronto
Toronto, Canada
3 h-index
6 publications
102 citations
Institute of Software
Beijing, China
3 h-index
4 publications
103 citations

Delft University of Technology
Delft, The Netherlands
3 h-index
8 publications
186 citations
1–8 of 83
Repository · 3 publications · 468 citations
3
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Conference · 2 publications · 27 citations
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ENTCS · 2 publications · 80 citations
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2 publications · 51 citations
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2 publications · 63 citations
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