Test Data Generation
Test Data Generation is a software engineering process that systematically produces input data and corresponding expected outputs to validate the correctness, reliability, and performance of a software system under test, distinguishing it from general test activities by its focused aim on creating meaningful, representative, and often automated data instances tailored to specific test cases and coverage criteria.
853
Publications
47.1K
Citations
2K
Authors
691
Institutions
Publications per year
2017–2026
186
Parents
853
Less is more: Sampling chemical space with active learning
Justin S. Smith, Benjamin Nebgen, Nicholas Lubbers et al. · The Journal of Chemical Physics · 2018 · 846 citations · Full text
1–5 of 853
2K
25
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691
University of Sheffield
Sheffield, United Kingdom
27 h-index
49 publications
5.2K citations
King's College London
London, United Kingdom
18 h-index
29 publications
2.4K citations
China University of Mining and Technology
Xuzhou, China
14 h-index
55 publications
1.2K citations
Georgia Institute of Technology
Atlanta, United States
13 h-index
28 publications
2.8K citations
The University of Texas at Austin
Austin, United States
13 h-index
27 publications
2.5K citations
Simula Research Laboratory
Oslo, Norway
12 h-index
18 publications
1.7K citations

University of York
York, United Kingdom
12 h-index
33 publications
3.3K citations
University of Luxembourg
Luxembourg, Luxembourg
12 h-index
23 publications
917 citations
1–8 of 691
TSE · 28 publications · 8.2K citations
24
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Repository · 16 publications · 1.1K citations
14
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STVR · 13 publications · 3.3K citations
13
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SEN · 16 publications · 692 citations
13
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11 publications · 418 citations
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