Proceedings of the 36th International Conference on Software Engineering 2014
DOI: 10.1145/2568225.2568230
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Integrating adaptive user interface capabilities in enterprise applications

Abstract: Many existing enterprise applications are at a mature stage in their development and are unable to easily benefit from the usability gains offered by adaptive user interfaces (UIs). Therefore, a method is needed for integrating adaptive UI capabilities into these systems without incurring a high cost or significantly disrupting the way they function. This paper presents a method for integrating adaptive UI behavior in enterprise applications based on CEDAR, a model-driven, service-oriented, and tool-supported … Show more

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Cited by 21 publications
(9 citation statements)
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“…Some recent related approaches for adaptive user interfaces [28], [29] either focus on adaptation or migration to other devices and platforms, or also cover user-related context-adaptations.…”
Section: Adaptive User Interface Approachesmentioning
confidence: 99%
“…Some recent related approaches for adaptive user interfaces [28], [29] either focus on adaptation or migration to other devices and platforms, or also cover user-related context-adaptations.…”
Section: Adaptive User Interface Approachesmentioning
confidence: 99%
“…Hence, it becomes possible to define a transformation, by dragging and dropping visual constructs that are easy to understand. In a previous work, we used the Windows Workflow Foundation (WF) for adapting model-driven UIs [Akiki et al 2013b], [Akiki et al 2014]. The underlying workflow implementation of ViSiT is based on our previous experience with WF, but ViSiT is more general purpose and has visual constructs for specifying model transformations.…”
Section: Visualmentioning
confidence: 99%
“…We have previously presented parts of this work including: [7], [14], [15], [16], [17], and [18], over the course of three years. This paper provides the first complete presentation of the technical underpinnings of our system, in addition to a comprehensive evaluation that covers both the technical and human perspectives.…”
Section: Our Contributions To Engineering Adaptive Uismentioning
confidence: 99%