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DAT: Data Architecture Modeling Tool for Data-Driven Applications

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Software Architecture. ECSA 2022 Tracks and Workshops (ECSA 2022)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 13928))

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Abstract

Data is the key to success for any Data-Driven Organization, and managing it is considered the most challenging task. Data Architecture (DA) focuses on describing, collecting, storing, processing, and analyzing the data to meet business needs. In this tool demo paper, we present the DAT, a model-driven engineering tool enabling data architects, data engineers, and other stakeholders to describe how data flows through the system and provides a blueprint for managing data that saves time and effort dedicated to Data Architectures for IoT applications. We evaluated this work by modeling five case studies, receiving expressiveness and ease of use feedback from two companies, more than six researchers, and eighteen undergraduate students from the software architecture course.

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Notes

  1. 1.

    CAPS: http://caps.disim.univaq.it/.

  2. 2.

    DAT Tool Source Code can be found at https://github.com/moamina/DAT.

  3. 3.

    DAT Tool video demo: https://youtu.be/Du0VDg1CLlQ.

  4. 4.

    DAT Tool Source Code can be found at https://github.com/moamina/DAT.

  5. 5.

    DAT Tool video demo: https://youtu.be/Du0VDg1CLlQ.

References

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Acknowledgment

The authors would like to thank Prof. Giovanni Stilo, Prof. Annabelle Gillet (Lambda+), Prof. Karthik Vaidhyanathan, Mostafa Shaer, Itay, and Roi from HP Team, Mustafa Tamim and Anas Eid from Harri Team, Mudassir Malik, Apurvanand Sahay, and Arsene Indamutsa as a researcher for their contributions in the evaluation.

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Authors and Affiliations

  1. University of L’Aquila, L’Aquila, Italy

    Moamin Abughazala & Henry Muccini

  2. An Najah N. University, Nablus, Palestine

    Mohammad Sharaf

Authors
  1. Moamin Abughazala
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  2. Henry Muccini
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  3. Mohammad Sharaf
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Corresponding author

Correspondence to Moamin Abughazala .

Editor information

Editors and Affiliations

  1. Federal University of Rio Grande do Norte, Natal, Brazil

    Thais Batista

  2. Charles University, Prague, Czech Republic

    Tomáš Bureš

  3. Vrije Universiteit Amsterdam, Amsterdam, The Netherlands

    Claudia Raibulet

  4. University of L’Aquila, L’Aquila, Italy

    Henry Muccini

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Abughazala, M., Muccini, H., Sharaf, M. (2023). DAT: Data Architecture Modeling Tool for Data-Driven Applications. In: Batista, T., Bureš, T., Raibulet, C., Muccini, H. (eds) Software Architecture. ECSA 2022 Tracks and Workshops. ECSA 2022. Lecture Notes in Computer Science, vol 13928. Springer, Cham. https://doi.org/10.1007/978-3-031-36889-9_8

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  • DOI: https://doi.org/10.1007/978-3-031-36889-9_8

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  • Print ISBN: 978-3-031-36888-2

  • Online ISBN: 978-3-031-36889-9

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