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Integrating adaptive user interface capabilities in enterprise applications

Akiki, Pierre A.; Bandara, Arosha K. and Yu, Yijun (2014). Integrating adaptive user interface capabilities in enterprise applications. In: 36th International Conference on Software Engineering (ICSE 2014), 31 May-7 June, 2014, Hyderabad, India, ACM.

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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 architecture for devising adaptive enterprise application UIs. The proposed integration method is evaluated with a case study, which includes establishing and applying technical metrics to measure several of the method’s properties using the open-source enterprise application OFBiz as a test-case. The generality and flexibility of the integration method are also evaluated based on an interview and discussions with practitioners about their real-life projects.

Item Type: Conference Item
Copyright Holders: 2014 ACM
Project Funding Details:
Funded Project NameProject IDFunding Body
ASAP - Advanced Grant291652ERC
Keywords: adaptive user interfaces; enterprise systems; software architectures; model-driven engineering; integration; software metrics
Academic Unit/School: Faculty of Science, Technology, Engineering and Mathematics (STEM)
Faculty of Science, Technology, Engineering and Mathematics (STEM) > Computing and Communications
Interdisciplinary Research Centre: Centre for Policing Research and Learning (CPRL)
Centre for Research in Computing (CRC)
International Development & Inclusive Innovation
Related URLs:
Item ID: 39583
Depositing User: Pierre Akiki
Date Deposited: 26 Feb 2014 16:30
Last Modified: 09 Feb 2017 19:22
URI: http://oro.open.ac.uk/id/eprint/39583
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