Data Validation Patterns
Data Validation Patterns is a method in the field of software engineering that systematically organizes reusable strategies for verifying the correctness, completeness, and consistency of input data during processing, distinguished by its focus on codified, context-specific rules and structural templates applied to ensure data integrity across diverse application scenarios.
4
Publications
96
Citations
5
Authors
4
Institutions
Publications per year
2017–2026
2
Parents
4
1–4 of 4
5
1
h-index
1
h-index
1 publications · 23 citations
1
h-index
1
h-index
1
h-index
1–5 of 5
4
University of Michigan
Ann Arbor, United States
1 h-index
1 publications
23 citations
Microsoft (United States)
Redmond, United States
1 h-index
1 publications
23 citations
Jet Propulsion Laboratory
Pasadena, United States
1 h-index
1 publications
40 citations
Stanford University
Stanford, United States
1 h-index
1 publications
40 citations
University of South Carolina
Columbia, United States
1 publications
10 citations
1–5 of 4
1 publications · 23 citations
1
h-index
1 publications · 40 citations
1
h-index
1 publications · 10 citations
1–3