Performance in model transformations: experiments with ATL and QVT

Autor: van Amstel, Marcel, Bosems, S., Ivanov, Ivan, Ferreira Pires, Luis, Cabot, Jordi, Visser, Eelco
Jazyk: angličtina
Rok vydání: 2011
Předmět:
Zdroj: Theory and Practice of Model Transformations (4th International Conference, ICMT 2011, Zurich, Switzerland, June 27-28, 2011. Proceedings), 198-212
STARTPAGE=198;ENDPAGE=212;TITLE=Theory and Practice of Model Transformations (4th International Conference, ICMT 2011, Zurich, Switzerland, June 27-28, 2011. Proceedings)
Theory and Practice of Model Transformations ISBN: 9783642217319
ICMT@TOOLS
4th International Conference on Theory and Practice of Model Transformations, ICMT 2011, 198-212
STARTPAGE=198;ENDPAGE=212;TITLE=4th International Conference on Theory and Practice of Model Transformations, ICMT 2011
Popis: Model transformations are increasingly being incorporated in software development processes. However, as systems being developed with transformations grow in size and complexity, the performance of the transformations tends to degrade. In this paper we investigate the factors that have an impact on the execution performance of model transformations. We analyze the performance of three model transformation language engines, namely ATL, QVT Operational Mappings and QVT Relations. We implemented solutions to two transformation problems in these languages and compared the performance of these transformations. We extracted metric values from the transformations to systematically analyze how their characteristics influence transformation execution performance. We also implemented a solution to a transformation problem in ATL in three functionally equivalent ways, but with different language constructs to evaluate the effect of language constructs on transformation performance. The results of this paper enable a transformation designer to estimate beforehand the performance of a transformation, and to choose among implementation alternatives to achieve the best performance. In addition, transformation engine developers may find some of our results useful in order to tune their tools for better performance.
Databáze: OpenAIRE