Software Evolution Metrics is a quantitative measurement framework that belongs to the class of software metrics, specifically designed to assess and analyze changes, growth, maintenance efforts, and quality trends in software systems over successive releases and developmental stages.
483
Publications
27.1K
Citations
992
Authors
425
Institutions
Publications per year
2017–2026
84
Parents
Publications
483
Predicting fault incidence using software change history
Todd Graves, Alan F. Karr, J. S. Marron et al. · IEEE Transactions on Software Engineering · 2000 · 751 citations
Predicting faults using the complexity of code changes
Ahmed E. Hassan · 2009 · 697 citations
1–5 of 483
Authors
992
- JR
12
h-index
- ML
9
h-index
- AE
8
h-index
- VR
8
h-index
- RT
8
h-index
1–5 of 992
Institutions
425
Eindhoven University of Technology
Eindhoven, The Netherlands
12 h-index
27 publications
853 citations
University of Maryland, College Park
College Park, United States
11 h-index
25 publications
4.2K citations
The Open University
Milton Keynes, United Kingdom
10 h-index
14 publications
657 citations
Polytechnique Montréal
Montreal, Canada
10 h-index
21 publications
968 citations
University of Bern
Bern, Switzerland
10 h-index
17 publications
1.5K citations
University of Sannio
Benevento, Italy
10 h-index
25 publications
980 citations
University of Waterloo
Waterloo, Canada
9 h-index
18 publications
813 citations
Università della Svizzera italiana
Lugano, Switzerland
8 h-index
17 publications
962 citations
1–8 of 425
Venues
- Journal of Systems and Software
JSS · 26 publications · 1.9K citations
22
h-index
- Information and Software Technology
18 publications · 1.9K citations
17
h-index
- IEEE Transactions on Software Engineering
TSE · 12 publications · 3.2K citations
12
h-index
- Empirical Software Engineering
11 publications · 474 citations
11
h-index
- IET Software
7 publications · 129 citations
7
h-index
1–5