SLE 2022 paper:
Partial Loading of Repository-Based Models through Static Analysis

Sorour Jahanbin, Dimitrios S. Kolovos, Simos Gerasimou, Gerson Sunyé

DOI: 10.1145/3567512.3567535
T5F: Performance
- The main goal is improving scalability (time/memory) of model management via partial loading.
T5B: Language Description Analysis
- It uses static analysis of model management programs to determine what to load.
T4B: Horizontal Transformation
- It generates graph-database (Cypher) queries that map model-management needs to repository retrieval.
T3B: Transformation Languages
- The work targets model management/transformation/validation languages and their execution engines.

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