In this paper we present Malai, a model-based user interface development environment. . It completes works on data manipulation techniques used to link source data to user interfaces. We show how Malai can improve modularity and usability of interactive systems by considering actions, interactions and instruments as reusable first-class objects. Malai has been successfully used for the development of several post-WIMP interactive systems. We introduce each Malai component using the same example: a vector graphics editor.
International audienceAmong model comprehension tools, model slicers are tools that extract a subset from a model, for a specific purpose. Model slicers are tools that let modelers rapidly gather relevant knowledge from large models. However, existing slicers are dedicated to one modeling language. This is an issue when we observe that new domain specific modeling languages (DSMLs), for which we want slicing abilities, are created almost on a daily basis. This paper proposes the Kompren language to model and generate model slicers for any DSL (e.g. software development and building architecture) and for different purposes (e.g. monitoring and model comprehension). Kompren's abilities for model slicers construction is based on case studies from various domains
Abstract. Collections are omnipresent within models: collections of references can represent relations between objects, and collections of values can represent object attributes. Consequently, manipulating models often consists of performing operations on collections. For example, transformations create target collections from given source collections. Similarly, constraint evaluations perform computation on collections. Recent research works focus on making such transformations or constraint evaluations active (i.e. incremental, or live). However, they propose their own solutions to the issue by the introduction of specific languages and/or systems. This paper proposes a mathematical formalism, centered on collections and independent of languages and systems, that describes how the implementation of standard operations on collections can be made active. The formalism also introduces a reversed active assignment dedicated to bidirectional operations. A case study illustrates how to use the formalism and its Active Kermeta implementation for creating an active transformation.
User interface adaptations can be performed at runtime to dynamically reflect any change of context. Complex user interfaces and contexts can lead to the combinatorial explosion of the number of possible adaptations. Thus, dynamic adaptations come across the issue of adapting user interfaces in a reasonable time-slot with limited resources. In this paper, we propose to combine aspect-oriented modeling with property-based reasoning to tame complex and dynamic user interfaces. At runtime and in a limited time-slot, this combination enables efficient reasoning on the current context and on the available user interface components to provide a well suited adaptation. The proposed approach has been evaluated through EnTiMid, a middleware for home automation.
Among model comprehension tools, model slicers are tools that extract a subset of model elements, for a specific purpose. Model slicers provide a mechanism to isolate and focus on parts of the model, thereby improving the overall analysis process. However, existing slicers are dedicated to a specific modeling language. This is an issue when we observe that new domain specific modeling languages (DSMLs), for which we want slicing abilities, are created almost on a daily basis. This paper proposes the Kompren language to model and generate model slicers for any DSL (e.g. modeling for software development or for civil engineering) and for different purposes (e.g. monitoring and model comprehension). We detail the semantics of the Kompren language and of the model slicer generator. This provides a set of expected properties about the slices that are extracted by the different forms of the slicer. Then we illustrate these different forms of slicers on case studies from various domains.
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