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Complex Systems: On Design and Architecture of Adaptable Dashboards

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Software Technology: Methods and Tools (TOOLS 2019)

Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 11771))

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Abstract

Over the years dashboards have become an essential part of managers’ toolkit. The recent developments in the field of IT allowed companies to build complex monitoring and metric-driven solutions for their business needs. The increasing amount of complexity in these dashboards resulted in the increased cost of maintenance and further development. In addition, large corporations have experienced concerns with designing dashboards that are suitable for multiple roles within the organization, i.e. showing the appropriate metrics to people at different positions. By having a self-adjusting, adaptable dashboard, businesses would not only increase the productivity of their workers but could benefit from a fully-fledged Adaptable System (AS) that requires little to no maintenance while performing better than a manually-built and maintained dashboard. Nevertheless, such a system would have a broader set of additional requirements that will be discussed later. This paper presents the design and the architecture of types of adaptable dashboards that address the above-mentioned concerns.

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Acknowledgments

The work presented in this paper was supported by the grant of Russian Science Foundation \(\hbox {N}^{\underline{o}}\)19 – 19 – 00623.

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Authors and Affiliations

  1. Innopolis University, Innopolis, Russia

    Dragos Strugar

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  1. Dragos Strugar
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Correspondence to Dragos Strugar .

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Editors and Affiliations

  1. Innopolis University, Innopolis, Russia

    Manuel Mazzara

  2. IUT de Blagnac , Blagnac, France

    Jean-Michel Bruel

  3. Innopolis University, Innopolis, Russia

    Bertrand Meyer

  4. Ivannikov Institute for System Programming, Russian Academy of Sciences, Moscow, Russia

    Alexander Petrenko

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Strugar, D. (2019). Complex Systems: On Design and Architecture of Adaptable Dashboards. In: Mazzara, M., Bruel, JM., Meyer, B., Petrenko, A. (eds) Software Technology: Methods and Tools. TOOLS 2019. Lecture Notes in Computer Science(), vol 11771. Springer, Cham. https://doi.org/10.1007/978-3-030-29852-4_14

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  • DOI: https://doi.org/10.1007/978-3-030-29852-4_14

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  • Online ISBN: 978-3-030-29852-4

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