Temporal Code Analysis
Temporal Code Analysis is a methodological framework within software analytics that systematically examines the evolution of source code over time by analyzing version control histories to identify patterns, anomalies, and trends in software development processes.
22
Publications
835
Citations
69
Authors
36
Institutions
Publications per year
2017–2026
6
Parents
22
Typestate-based semantic code search over partial programs
Alon Mishne, Sharon Shoham, Eran Yahav · 2012 · 103 citations
Natalie Gruska, Andrzej Wasylkowski, Andreas Zeller · 2010 · 96 citations
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36
Nanjing University
Nanjing, China
2 h-index
2 publications
58 citations
Academic College of Tel Aviv-Yafo
Tel Aviv, Israel
2 h-index
2 publications
122 citations

Saarland University
Saarbrücken, Germany
2 h-index
4 publications
242 citations

Yangzhou University
Yangzhou, China
2 h-index
6 publications
174 citations

Nanjing University of Information Science and Technology
Nanjing, China
2 h-index
2 publications
50 citations
Technion – Israel Institute of Technology
Haifa, Israel
2 h-index
4 publications
244 citations
IBM (United States)
Armonk, United States
1 h-index
1 publications
19 citations
The University of Texas at Austin
Austin, United States
1 h-index
3 publications
147 citations
1–8 of 36
1 publications · 38 citations
1
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1 publications · 14 citations
1
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PRL · 1 publications · 19 citations
1
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1 publications · 49 citations
1
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JSS · 1 publications · 41 citations
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1–5