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Model-Based Approach for Engineering Adaptive User Interface Requirements

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Requirements Engineering in the Big Data Era

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 558))

Abstract

Although Model-Based User Interface (MBUI) design approaches have been suggested and researched over a long period of time, the advantages of adopting them into the development of Adaptive User Interface (AUI) have not stood out. We believe that it is due to the lack of an integration of the Requirements Engineering (RE) process, and methodologies for Model-based AUI development. Since RE provides a solid base to the development of software, requirements of AUI have to be preceded appropriately in the development process. Previously, we suggested a RE method for AUI reflecting the viewpoint of Self Adaptive System (SAS). In this paper, we elaborate on our previous method grounded on a model-based approach. The proposed method is illustrated with an example scenario, which makes adaptations of the user interface at run-time by conforming to the context of users. Finally, an evaluation of our method is provided by a case study at the end of the paper.

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Author information

Authors and Affiliations

  1. Graduate School of Software, Ajou University, Suwon, Republic of Korea

    Kibeom Park

  2. Department of Software Convergence Technology, Ajou University, Suwon, Republic of Korea

    Seok-Won Lee

Authors
  1. Kibeom Park
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  2. Seok-Won Lee
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Corresponding author

Correspondence to Kibeom Park .

Editor information

Editors and Affiliations

  1. Tsinghua University, Beijing, China

    Lin Liu

  2. Dept, of Software Engineering, Nanzan University, Nagoya, Japan

    Mikio Aoyama

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Park, K., Lee, SW. (2015). Model-Based Approach for Engineering Adaptive User Interface Requirements. In: Liu, L., Aoyama, M. (eds) Requirements Engineering in the Big Data Era. Communications in Computer and Information Science, vol 558. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-48634-4_2

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  • DOI: https://doi.org/10.1007/978-3-662-48634-4_2

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-662-48633-7

  • Online ISBN: 978-3-662-48634-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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