RT journal article
T1 ModeL4CEP: Graphical domain-specific modeling languages for CEP domains and event patterns
A1 Boubeta Puig, Juan
A1 Ortiz Bellot, Guadalupe
A1 Medina Bulo, María Inmaculada
A2 Ingeniería Informática
K1 Complex event processing
K1 Model-driven development
K1 Domain-specific modeling language
K1 Event processing language
AB Complex event processing (CEP) is a cutting-edge technology that allows the analysis and correlation of large volumes of data with the aim of detecting complex and meaningful events through the use of event patterns, as well as permitting the inference of valuable knowledge for end users. Despite the great advantages that CEP can bring to expert or intelligent business systems, it poses a substantial challenge to their users, who are business experts but do not have the necessary knowledge and experience using this technology. The main problem these users have to face is precisely hand-writing the code for event pattern definition, which requires them to implement the conditions to be met to detect relevant situations for the domain in question by using a particular event processing language (EPL). In order to respond to this need, in this paper we propose both a graphical domain-specific modeling language (DSML) for facilitating CEP domain definitions by domain experts, and a graphical DSML for event pattern definition by non-technological users. The proposed languages provide high expressiveness and flexibility and are independent of event patterns and actions’ implementation code. This way, domain experts can define the relevant event types and patterns within their business domain, without having to be experts on EPL programming, nor on other complicated computer science technological issues, beyond an understandable and intuitive graphical definition. Furthermore, with these DSMLs, users will also be able to define the actions to be automatically taken once a pattern is detected in the system. Further benefits of these DSMLs are evaluated and discussed in depth in this paper.
PB Elsevier
SN 0957-4174
YR 2015
FD 2015-11
LK http://hdl.handle.net/10498/20954
UL http://hdl.handle.net/10498/20954
LA eng
DS Repositorio Institucional de la Universidad de Cádiz
RD 13-nov-2026