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A Data-Centric Algorithm for Identifying Use Cases

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Software Engineering Perspectives and Application in Intelligent Systems ( ICTIS 2017, CSOC 2016)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 465))

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Abstract

Creating use case models is a popular method of requirements analysis. Unfortunately, guidelines for the identification of use cases are quite general. Thus, inconsistencies with state machines that model lifecycles of entity types can easily appear. Traditionally, one writes use cases as requirements and uses these as an input for creating analysis models. We propose a data-centric algorithm that partially turns this process upside down. It takes a set of system actors, a set of their informational requirements, an initial conceptual data model, and state machines of the main entity types as an input. It produces a set of use case descriptions, each of which contains the name of the use case, its primary actors, and general understanding of its functionality. One would use this model for the elaboration of use cases and writing their textual specifications.

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Authors and Affiliations

  1. Department of Informatics, Tallinn University of Technology, Akadeemia tee 15A, 12618, Tallinn, Estonia

    Erki Eessaar

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  1. Erki Eessaar
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Correspondence to Erki Eessaar .

Editor information

Editors and Affiliations

  1. Faculty of Applied Informatics, Tomas Bata University in Zlín, Zlín, Czech Republic

    Radek Silhavy

  2. Faculty of Applied Informatics, Tomas Bata University in Zlín, Zlín, Czech Republic

    Roman Senkerik

  3. Faculty of Applied Informatics, Tomas Bata University in Zlín, Zlín, Czech Republic

    Zuzana Kominkova Oplatkova

  4. Faculty of Applied Informatics, Tomas Bata University in Zlín, Zlín, Czech Republic

    Petr Silhavy

  5. Faculty of Applied Informatics, Tomas Bata University in Zlín, Zlín, Czech Republic

    Zdenka Prokopova

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Eessaar, E. (2016). A Data-Centric Algorithm for Identifying Use Cases. In: Silhavy, R., Senkerik, R., Oplatkova, Z.K., Silhavy, P., Prokopova, Z. (eds) Software Engineering Perspectives and Application in Intelligent Systems. ICTIS CSOC 2017 2016. Advances in Intelligent Systems and Computing, vol 465. Springer, Cham. https://doi.org/10.1007/978-3-319-33622-0_28

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  • DOI: https://doi.org/10.1007/978-3-319-33622-0_28

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-33620-6

  • Online ISBN: 978-3-319-33622-0

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