Icon Recognition and Usability for Requirements Engineering
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 SeriesDate
2014Copyright
© 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 UniversityConference
European-Japanese conference on information modelling and knowledge basesIs part of publication
Proceedings of the 24th International Conference on Information Modelling and Knowledge Bases - EJC 2014ISSN Search the Publication Forum
2193-6781
Original source
https://www.numerik.uni-kiel.de/~discopt/kcss/kcss_2014_04_v1.0_print.pdfPublication in research information system
https://converis.jyu.fi/converis/portal/detail/Publication/23875156
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