Paper Info
Title
Applying a data-centric framework for developing model transformations.
Abstract
Data-centric (Dc) and declarative languages are being used for data processing in several application domains, such as distributed systems, natural language processing, and others. In Model Transformations (MT), recognized declarative and hybrid languages have been used to develop model transformation rules. Considering the execution semantics, a large part use functional-like or graph-matching semantics. However, these new data processing frameworks have different execution capabilities and semantics. In this context, it is important to take stock of existing approaches for providing transformation engines with alternative semantics and in a distributed way. In this paper, we present a study on applying a data-centric language called Bloom to develop model transformations. We developed an extractor into its collection-based format and then processed them using its highly-declarative rules. The results show the feasibility of applying data centric approaches for MDE applications.
Year
DOI
Venue
2019
10.1145/3297280.3297596
SAC
Keywords
Field
DocType
bloom language, data-centric, model transformation rules
Database-centric architecture,Model transformation,Data processing,Programming language,Computer science,Extractor,Semantics
Conference
ISBN
Citations 
PageRank 
978-1-4503-5933-7
1
0.35
References 
Authors
0
2
Name
Order
Citations
PageRank
Luiz Carlos Camargo111.02
Marcos Didonet Del Fabro227334.14