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Weighted Evaluation Framework for Cross-Platform App Development Approaches

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Information Systems: Development, Research, Applications, Education (SIGSAND/PLAIS 2016)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 264))

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Abstract

Cross-platform app development is very challenging, although only two platforms with significant market share (iOS and Android) remain. While device fragmentation – multiple, only partly compatible versions of a platform – has been complicating matters already, the need to target different device classes is a new emergence. Smartphones and tablets are relatively similar but app-enabled devices such as TVs and even cars typically have differing capabilities. To facilitate usage of cross-platform app development approaches, we present work on an evaluation framework. Our framework provides a set of up-to-date evaluation criteria. Unlike prior work on this topic, it offers weighted assessment to cater for varieties in targeted device classes. Besides motivating and explaining the evaluation criteria, we present an exemplary application for one development approach and, as benchmarks, for native apps and Webapps. Our findings suggest that the proliferation of app-enabled devices amplifies the need for improved development support.

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Notes

  1. 1.

    However, we do not cite [28] for each single criterion originating from this work.

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Author information

Authors and Affiliations

  1. ERCIS, University of Münster, Münster, Germany

    Christoph Rieger

  2. ERCIS, University of Agder, Kristiansand, Norway

    Tim A. Majchrzak

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  1. Christoph Rieger
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  2. Tim A. Majchrzak
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Correspondence to Tim A. Majchrzak .

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  1. Department of Business Informatics, University of Gdansk Department of Business Informatics, Sopot, Poland

    Stanislaw Wrycza

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Rieger, C., Majchrzak, T.A. (2016). Weighted Evaluation Framework for Cross-Platform App Development Approaches. In: Wrycza, S. (eds) Information Systems: Development, Research, Applications, Education. SIGSAND/PLAIS 2016. Lecture Notes in Business Information Processing, vol 264. Springer, Cham. https://doi.org/10.1007/978-3-319-46642-2_2

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