The Open UniversitySkip to content

Using interpreted runtime models for devising adaptive user interfaces of enterprise applications

Akiki, Pierre A.; Bandara, Arosha K. and Yu, Yijun (2012). Using interpreted runtime models for devising adaptive user interfaces of enterprise applications. In: 14th International Conference on Enterprise Information Systems (ICEIS 2012), 28 Jun - 1 Jul 2012, Wroclaw, Poland.

Full text available as:
PDF (Accepted Manuscript) - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
Download (448kB)
Google Scholar: Look up in Google Scholar


Although proposed to accommodate new technologies and the continuous evolution of business processes and business rules, current model-driven approaches do not meet the flexibility and dynamic needs of feature-rich enterprise applications. This paper illustrates the use of interpreted runtime models instead of static models or generative runtime models, i.e. those that depend on code generation. The benefit of interpreting runtime models is illustrated in two enterprise user interface (UI) scenarios requiring adaptive capabilities. Concerned with devising a tool-supported methodology to accommodate such advanced adaptive user interface scenarios, we propose an adaptive UI architecture and the meta-model for such UIs. We called our architecture Custom Enterprise Development Adaptive Architecture (CEDAR). The applicability and performance of the proposed approach are evaluated by a case study.

Item Type: Conference or Workshop Item
Copyright Holders: 2012 Science and Technology Publications, Lda (SciTePress)
Extra Information: Paper no.75
Keywords: user interfaces; model driven engineering; runtime modelling; enterprise applications; design tools and techniques; domain-specific architectures; software architectures
Academic Unit/School: Faculty of Science, Technology, Engineering and Mathematics (STEM)
Faculty of Science, Technology, Engineering and Mathematics (STEM) > Computing and Communications
Research Group: Centre for Research in Computing (CRC)
Related URLs:
Item ID: 33627
Depositing User: Pierre Akiki
Date Deposited: 24 May 2012 09:36
Last Modified: 07 Dec 2018 10:30
Share this page:

Download history for this item

These details should be considered as only a guide to the number of downloads performed manually. Algorithmic methods have been applied in an attempt to remove automated downloads from the displayed statistics but no guarantee can be made as to the accuracy of the figures.

Actions (login may be required)

Policies | Disclaimer

© The Open University   contact the OU