CfPBoK
by
Vadim Zaytsev
sle2014/paper15
SLE 2014
paper:
Dynamic Scope Discovery for Model Transformations
Māris Jukšs
,
Clark Verbrugge
,
Dániel Varró
,
Hans Vangheluwe
DOI:
10.1007/978-3-319-11245-9_17
T5F: Performance
Its main aim is runtime performance optimisation of graph pattern matching in model transformations.
T3B: Transformation Languages
The technique is embedded in a model transformation engine and targets transformation execution.
T4D: Interpretation
It operates at runtime by dynamically reducing the search space for rule application.
T4G: AI-for-SLE
It employs a Naive Bayes classifier and online learning to predict likely match candidates.
The page is maintained by
Dr. Vadim Zaytsev
a.k.a. @
grammarware
. Last updated: June 2026.