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Predicting the Performance of ATL Model Transformations:

, In: Proceedings of the 2023 ACM/SPEC International Conference on Performance Engineering,

Groner, Raffaela ; Bellmann, Peter ; Höppner, Stefan... - p. 77-89 , 2023

Link: https://dl.acm.org/doi/10.1145/3578244.3583727

RT 
T1 <cTitle>Proceedings of the 2023 ACM/SPEC International Conference on Performance Engineering</cTitle>: T1 <Title>Predicting the Performance of ATL Model Transformations</Title>

UL https://suche.suub.uni-bremen.de/peid=acm-3583727&Exemplar=1&LAN=DE
				
A1 Groner, Raffaela
A1 Bellmann, Peter
A1 Höppner, Stefan
A1 Thiam, Patrick
A1 Schwenker, Friedhelm
A1 Tichy, Matthias
PB ACM
YR 2023
K1 ATL
K1 linear regression
K1 machine learning
K1 model transformation
K1 performance prediction
K1 random forests
K1 support vector regression
K1 General and reference
K1 Cross-computing tools and techniques
K1 Performance
K1 Software and its engineering
K1 Software organization and properties
K1 Software system structures
K1 Software system models
K1 Model-driven software engineering
K1 Computing methodologies
K1 Machine learning
K1 Machine learning approaches
SP 77
OP 89
LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3578244.3583727
DO https://dl.acm.org/doi/10.1145/3578244.3583727
SF ELIB - SuUB Bremen

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