EDBT 2026 Demo / reviewers in the wild / expert
Shouxuan Wu
dblp:292/4174
· DBLP profile ↗
3ranked-venue papers in the field
2as first author
3since 2021 · last 2026
0009-0009-4546-622XORCID · corroborated
Domains — venue-derived; a paper can count in several
Other / Interdisciplinary · 3 (2 first)
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2026 | Insights into ontology-based model-based systems engineering: state of the art and enabling framework
Mengru Dong, Guoxin Wang 0001, Jinzhi Lu 0001, Shouxuan Wu, Yihui Gong, Yan Yan 0008, Dimitris Kiritsis |
Adv. Eng. Informatics | 4 |
| 2025 | Cognitive digital thread tool-chain for model versioning in model-based systems engineeringabstractModel-based systems engineering (MBSE) allows system models to formalize end-to-end systems engineering implementation while developing complex engineering system. The evolution of MBSE models, including changes and conflicts, provides important historical knowledge to support design decisions. Model versioning is an efficient approach to manage the evolution of MBSE models. However, the heterogeneous data structure and semantics used in MBSE practices hinder the tool interoperability that is required in model versioning, which also decreases the effectiveness and efficiency of system development. This paper proposes a tool-chain for model versioning of MBSE models based on a cognitive digital thread (CDT). In this tool-chain, the graph–object–point–property-relationship-role-extension (GOPPRR-E) modeling approach is adopted because it is compatible with heterogeneous modeling languages used in model versioning. To promote tool interoperability, this tool-chain adopts the Open Services for Lifecycle Collaboration to support conflict detection or resolution during model versioning. In particular, knowledge graphs are generated along with the model versioning workflow to develop a CDT, which provides the cognitive reasoning ability required for model versioning behaviors. A case study of landing gear system development is used to evaluate the feasibility of the proposed tool-chain through qualitative and quantitative analyses. The results demonstrate that the proposed tool-chain has better efficiency than traditional model versioning using Git tools. Shouxuan Wu, Guoxin Wang 0001, Jinzhi Lu 0001, Jiaxing Qiao, Yan Yan 0008, Dimitris Kiritsis |
Adv. Eng. Informatics | 1 |
| 2025 | Digital thread in engineering: Concept, state of art, and enabling framework
Shouxuan Wu, Guoxin Wang 0001, Jinzhi Lu 0001, Yan Yan 0008, Yihui Gong, Mengru Dong, Dimitris Kiritsis |
Adv. Eng. Informatics | 1 |