Authors:
Sara Gotti
and
Samir Mbarki
Affiliation:
MISC Laboratory, Faculty of Science, Ibn Tofail University, Kenitra and Morocco
Keyword(s):
Interaction Flow Modeling Language IFML, Model Execution, Mda, Bytecode, Virtual Machine, Model Interpretation, Model Compilation, User Interfaces, Front End, Content Dependency, Input-Output Dependency.
Related
Ontology
Subjects/Areas/Topics:
Applications and Software Development
;
Executable UML
;
Frameworks for Model-Driven Development
;
Hybrid Multi-Modeling Approaches
;
Languages, Tools and Architectures
;
Methodologies, Processes and Platforms
;
Model Execution and Simulation
;
Model Transformation
;
Model Transformations and Generative Approaches
;
Model-Driven Architecture
;
Model-Driven Software Development
;
Models
;
Paradigm Trends
;
Software Engineering
;
Software Process Modeling, Enactment and Execution
;
Syntax and Semantics of Modeling Languages
;
Systems Engineering
Abstract:
Many software systems are executable on various computing devices. No one denies that each of these devices has its own user interfaces. Nevertheless, this trend of computing everywhere is not accompanied by a solution that can be used to abstractly express the content, user interaction and control behavior of the software application front end without focusing on the implementation platform. Applying the concept of abstract models to user interfaces become a necessity. Accordingly, OMG adopted (in March 2013) the new Interaction Flow Modeling Language (IFML) for abstractly describing the system front end. It ensures executability in order to be mapped into executable applications for different kind of devices. In this paper, we propose a new model driven development approach to execute the logical description of UIs components and their interactions captured with IFML. We define IFVM, a virtual machine for executing IFML models with focus on the content-dependent navigation specific
ation for passing parameters between the ViewElements, and the Data binding specification to specify the source of the published content.
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