Measurement Error Analysis
Measurement Error Analysis is a systematic methodological framework within software metrics that identifies, quantifies, and interprets deviations between observed measurement values and true or expected values to assess and improve the reliability and validity of software measurement processes.
241
Publications
14K
Citations
705
Authors
336
Institutions
Publications per year
2017–2026
61
241
1–5 of 241
705
University of California, Santa Barbara, United States
3 publications · 115 citations
3
h-index
2
h-index
2
h-index
2
h-index
2
h-index
1–5 of 705
336
Texas A&M University
College Station, United States
5 h-index
7 publications
607 citations
North Carolina State University
Raleigh, United States
4 h-index
4 publications
413 citations
Chinese University of Hong Kong
Hong Kong, Hong Kong
3 h-index
3 publications
193 citations

Harvard University Press
Cambridge, United States
3 h-index
3 publications
1.3K citations
Harvard University
Cambridge, United States
3 h-index
4 publications
2.2K citations
Wuhan University
Wuhan, China
3 h-index
6 publications
154 citations

North China Electric Power University
Beijing, China
3 h-index
11 publications
248 citations
Massachusetts General Hospital
Boston, United States
3 h-index
9 publications
204 citations
1–8 of 336
8 publications · 976 citations
8
h-index
5 publications · 2.7K citations
5
h-index
5 publications · 136 citations
5
h-index
5 publications · 141 citations
5
h-index
4 publications · 118 citations
4
h-index
1–5