Code Complexity Analysis
Code Complexity Analysis is a software engineering metric that quantifies the intricacy of source code structures by evaluating control flow, branching, and nesting depth to assess maintainability and potential fault-proneness in program units.
376
Publications
31.3K
Citations
962
Authors
443
Institutions
Publications per year
2017–2026
66
Parents
376
Thomas J. McCabe · IEEE Transactions on Software Engineering · 1976 · 5.8K citations
Stephen M. Blackburn, Robin Garner, Chris Hoffmann et al. · 2006 · 1.6K citations · Full text
Top 10 list [software development]
Barry Boehm, Victor R. Basili · Computer · 2001 · 813 citations
Mining metrics to predict component failures
Nachiappan Nagappan, Thomas Ball, Andreas Zeller · 2006 · 779 citations
1–5 of 376
962
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443
IBM (United States)
Armonk, United States
11 h-index
20 publications
2.3K citations
Florida Atlantic University
Boca Raton, United States
7 h-index
7 publications
469 citations
North Carolina State University
Raleigh, United States
7 h-index
12 publications
3.2K citations
Hebrew University of Jerusalem
Jerusalem, Israel
6 h-index
15 publications
393 citations
University of Maryland, College Park
College Park, United States
6 h-index
9 publications
2.6K citations

Pennsylvania State University
State College, United States
5 h-index
16 publications
447 citations
Eindhoven University of Technology
Eindhoven, The Netherlands
4 h-index
8 publications
215 citations

The Open University
Milton Keynes, United Kingdom
4 h-index
7 publications
305 citations
1–8 of 443
TSE · 18 publications · 8.2K citations
18
h-index
JSS · 10 publications · 528 citations
10
h-index
11 publications · 1.3K citations
10
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Conference · 6 publications · 299 citations
6
h-index
SEN · 5 publications · 105 citations
5
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1–5