RT Journal Article
T1 CEViNEdit: improving the process of creating cognitively effective graphical editors with GMF
A1 Granada, David
A1 Vara, Juan M.
A1 García Merayo, María De Las Mercedes
A1 Marcos, Esperanza
AB The rise of domain-specific (Visual) languages and the inherent complexity of developing graphical editors for these languages have led to the emergence of proposals that provide support for this task. Most of these proposals are principally based on EMF and GMF, which effectively help to simplify and increase the level of automation of the development process of the editors, but it is important to recall that these proposals have some important disadvantages, mainly related to the learning curve of these technologies, poor documentation or the complexity of providing all the customisation possibilities to the user. In addition, in the process of developing a domain-specific language, issues related to graphical conventions have historically been undervalued, while most of the effort has been focused on semantic aspects. In fact, definitions of the concrete (visual) syntax of modelling languages in Software Engineering are usually based on common sense, intuition, the reuse of existing notations or emulation of common practices. In order to alleviate the inherent complexity of the EMF/GMF approach for the development of graphical editors and to support the evaluation of the quality of visual notations of modelling languages, this article presents CEViNEdit, an intuitive tool that simultaneously supports the semi-automatic generation of graphical editors and the assessment of the cognitive effectiveness of the visual notation implemented by the editor.
PB Springer
SN 1619-1366
SN 1619-1374
YR 2020
FD 2020-10-17
LK https://hdl.handle.net/20.500.14352/119574
UL https://hdl.handle.net/20.500.14352/119574
LA eng
NO Comunidad de Madrid
NO MINISTERIO DE CIENCIA, INNOVACIÓN Y UNIVERSIDADES
NO Ministerio de Economía y Empresa
DS Docta Complutense
RD 19 ene 2026