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Icon Recognition and Usability for Requirements Engineering

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Khanom, S., Heimbürger, A., & Kärkkäinen, T. (2014). Icon Recognition and Usability for Requirements Engineering. In B. Thalheim, H. Jaakkola, & Y. Kiyoki (Eds.), Proceedings of the 24th International Conference on Information Modelling and Knowledge Bases - EJC 2014 (pp. 248-260). Kiel University. Kiel Computer Science Series, 4/2014. https://www.numerik.uni-kiel.de/~discopt/kcss/kcss_2014_04_v1.0_print.pdf
Published in
Kiel Computer Science Series
Authors
Khanom, Sukanya |
Heimbürger, Anneli |
Kärkkäinen, Tommi
Editors
Thalheim, B. |
Jaakkola, H. |
Kiyoki, Y.
Date
2014
Discipline
TietotekniikkaMathematical Information Technology
Copyright
© the Authors, the Editors & Kiel University, 2014.

 
When we introduce icon-based language into the context of requirements engineering, we must take into account that what users perceive as recognizable and usable depends on their background. In this paper, we argue that it is not possible to provide a single set of visual notations that appeal to all of stakeholders. Instead, we suggest an adaptable preference framework, which generates personalized notations that correspond to personal background. We present and evaluate icon-based language: a new kind of approach to requirements engineering work to explore its possibility and usability. In an initial evaluation of students residing in Finland, results reveal that users are able to recognize a group of icons fairly well. Our findings show that an icon-based language could probably be a positive means in improving awareness of requirements engineering as it tends to take advantages of icons which are intuitively understandable to represent traditional textual requirements.
Publisher
Kiel University
Conference
European-Japanese conference on information modelling and knowledge bases
Is part of publication
Proceedings of the 24th International Conference on Information Modelling and Knowledge Bases - EJC 2014
ISSN Search the Publication Forum
2193-6781
Keywords
visual analytics energy production biomassa (teollisuus)

Original source
https://www.numerik.uni-kiel.de/~discopt/kcss/kcss_2014_04_v1.0_print.pdf

URI

http://urn.fi/URN:NBN:fi:jyu-201410032925

Publication in research information system

https://converis.jyu.fi/converis/portal/detail/Publication/23875156

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