Configuration Space Modeling
Configuration Space Modeling is a formal method in product configuration that represents the set of valid configurations and their interrelationships as a structured space, distinguished by its use of logical, mathematical, or computational constraints to define feasible product variants within a given domain.
104
Publications
5.2K
Citations
255
Authors
144
Institutions
Publications per year
2017–2026
18
Parents
104
Finding near-optimal configurations in product lines by random sampling
Jeho Oh, Don Batory, Margaret Myers et al. · 2017 · 147 citations
1–5 of 104
255
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Institut de Recherche en Informatique et Systèmes Aléatoires, France
2 publications · 125 citations
2
h-index
1–5 of 255
144
Carnegie Mellon University
Pittsburgh, United States
6 h-index
16 publications
862 citations
University of Michigan
Ann Arbor, United States
3 h-index
5 publications
113 citations
Georgia Institute of Technology
Atlanta, United States
3 h-index
7 publications
187 citations
University of Southern California
Los Angeles, United States
3 h-index
9 publications
288 citations

Pennsylvania State University
State College, United States
2 h-index
3 publications
155 citations
Universitat Politècnica de Catalunya
Barcelona, Spain
2 h-index
4 publications
187 citations

Iran University of Science and Technology
Tehran, Iran
2 h-index
3 publications
72 citations
Université de technologie de belfort-montbéliard
Belfort, France
2 h-index
6 publications
204 citations
1–8 of 144
7 publications · 701 citations
7
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AIEDAM · 3 publications · 115 citations
3
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IJRR · 3 publications · 218 citations
3
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3 publications · 79 citations
3
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3 publications · 86 citations
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