The Beautification Process in Model-Driven Engineering of User Interfaces

Pederiva, Inés; Vanderdonckt, Jean; España, Sergio; Panach, Ignacio; Pastor, Oscar

doi:10.1007/978-3-540-74796-3_39

Cited by 11 publications

(5 citation statements)

References 15 publications

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“…Tool support for the OO-Method on an industrial scale is provided by the Olivanova transformation engine 5 . Adaptability for the resulting UI is considered as important and constitutes a current field of research (see Pederiva et al (2007)). Their current approach is to provide additional rendering information in so called transformation templates developed by Aquino et al (2008).…”

Section: Models In the Oo-methodsmentioning

confidence: 99%

Automated Generation of User Interfaces – A Comparison of Models and Future Prospects

Horacek¹,

Popp²,

Raneburger³

2012

Human Machine Interaction - Getting Closer

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Section: Models In the Oo-methodsmentioning

confidence: 99%

Automated Generation of User Interfaces – A Comparison of Models and Future Prospects

Horacek¹,

Popp²,

Raneburger³

2012

Human Machine Interaction - Getting Closer

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“…Another is to customize by changing a previously generated model, which entails the problem of making such changes persistent [7]. This is also a key open issue, e.g., of beautification [1,10]. Persistence can be achieved by customizing an already generated model through its further transformation using additional rules [11].…”

Section: Related Workmentioning

confidence: 98%

Model transformation rules for customization of multi-device graphical user interfaces

Raneburger

Kaindl

Popp

2015

Proceedings of the 7th ACM SIGCHI Symposium on Engineering Interactive Computing Systems

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In the context of model-driven generation of (graphical) user interfaces, systematic customization of automatically determined results is a challenge. While it may seem obvious that certain customizations can be expressed as specific transformation rules, adding such rules usually requires adaptation of existing rules and may lead to an unmanageable rule set.In this paper, we propose a new approach for managing model transformation rules for customization of graphical user interfaces in the context of their automated generation. Our approach facilitates managing transformation rules, because already existing rules do not have to be changed or replaced. A trial application provided some empirical evidence of the feasibility of our new approach. It even showed that some customization rules can be reused for generating graphical user interfaces for other devices with different properties, in effect for multi-device generation.

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“…If it is a description of the processes of an organization (the dynamic dimension, associated with the mechanisms), the central model will be a process model that describes its relevant tasks and activities (e.g., a BPMN model, a use case diagram). If the representation affects a Human-computer interaction strategy (the interaction dimension, the environment of the system), an interaction model will be in charge of delimiting which interaction units, user interface components and dialogs will be used, such as a presentation model [107,123] or a CTT diagram [121].…”

Section: Proposed Systems Representation and Examplementioning

confidence: 99%

Conceptual modelling for life sciences based on systemist foundations

Lukyanenko

Pastor

2023

BMC Bioinformatics

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Background All aspects of our society, including the life sciences, need a mechanism for people working within them to represent the concepts they employ to carry out their research. For the information systems being designed and developed to support researchers and scientists in conducting their work, conceptual models of the relevant domains are usually designed as both blueprints for a system being developed and as a means of communication between the designer and developer. Most conceptual modelling concepts are generic in the sense that they are applied with the same understanding across many applications. Problems in the life sciences, however, are especially complex and important, because they deal with humans, their well-being, and their interactions with the environment as well as other organisms. Results This work proposes a “systemist” perspective for creating a conceptual model of a life scientist’s problem. We introduce the notion of a system and then show how it can be applied to the development of an information system for handling genomic-related information. We extend our discussion to show how the proposed systemist perspective can support the modelling of precision medicine. Conclusion This research recognizes challenges in life sciences research of how to model problems to better represent the connections between physical and digital worlds. We propose a new notation that explicitly incorporates systemist thinking, as well as the components of systems based on recent ontological foundations. The new notation captures important semantics in the domain of life sciences. It may be used to facilitate understanding, communication and problem-solving more broadly. We also provide a precise, sound, ontologically supported characterization of the term “system,” as a basic construct for conceptual modelling in life sciences.

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The Beautification Process in Model-Driven Engineering of User Interfaces

Cited by 11 publications

References 15 publications

Automated Generation of User Interfaces – A Comparison of Models and Future Prospects

Automated Generation of User Interfaces – A Comparison of Models and Future Prospects

Model transformation rules for customization of multi-device graphical user interfaces

Conceptual modelling for life sciences based on systemist foundations

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