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Background: Domain-Specific Languages (DSLs) are programming languages created to a specific domain that a user has pre-conceived. Multi-Agent Systems (MAS) represent a set of systems interacting within an environment, in which many intelligent agents interact with each other. Usability is a property of something that is "capable of being used"and "convenient and practicable for use". Barišic et al. introduced a conceptual framework that supports the iterative development process of DSLs concerning the usability evaluation. Semantic Web Enabled Agent Modeling Language (SEA_ML) is a DSL that supports the modeling and generation of action-based systems for MAS and the Semantic Web. It is defined by 44 visual notations.
Objective: Improve SEA_ML’s usability using "The "Physics"of Notations" principles
to create a new visual notation for SEA_ML. Method: (1) Participants test the current notation and the new notation on four exercises.
For each exercise, a SUS questionnaire is presented. Participants should have
better results on the exercises with the new notation. (2) Participants select the notations for SEA_ML. Participants receive a list with figures including the current and the new notation, alongside a set of descriptions for each of the semantic constructs of SEA_ML. Participants should select more icons from the new notation.
Results: With the results gathered from each experience it is not clear that the new
visual notations are better than the current notations.
Limitation: The results from the guidelines were not evaluated broadly.
Conclusion: The results for each experiment are not clear that the new notation is
better than the current notation.
This thesis is part of a scientific and technological co-operation between NOVA LINCS
research center at Universidade Nova de Lisboa, Portugal, and Ege University International Computer Institute, Turkey. regarding the project Developing a Framework on Evaluating Domain specific Modeling Languages for Multi-Agent Systems.
Descrição
Palavras-chave
Domain-Specific Languages DSL Multi-Agent Systems SEA_ML MAS Usability
