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C-PLAD-SM: Extending Component Requirements with Use Cases and State Machines

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Software Engineering Research, Management and Applications (SERA 2017)

Part of the book series: Studies in Computational Intelligence ((SCI,volume 722))

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Abstract

Classic approaches to component specification derived from component requirements emphasize identifying external interfaces and behaviors. The C-PLAD requirements model provided a unifying framework for combining domain requirements and application requirements through an iterative refinement process. C-PLAD repackaged UML features and Unified Process techniques into an iterative process. In our continuing work, we found another layer was required—the inclusion of state machines to drive the architectural specifications beyond component interfaces and into component states in order to provide guarantees in our domains of interest, namely safety-critical applications. In this paper we describe an extension to the C-PLAD approach, dubbed C-PLAD-SM, which addresses the gaps in our earlier work.

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Notes

  1. 1.

    We acknowledge the reader may prefer other tools, such as component instead of class diagrams, and collaboration instead of sequence diagrams. The focus is on static and dynamic relationships between components.

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Authors and Affiliations

  1. The School of Computing Informatics, and Decision Systems Engineering, The Ira A. Fulton Schools of Engineering, Arizona State University, Mesa, AZ, 85281, USA

    Kevin A. Gary

  2. College of Computing & Informatics, Drexel University, Philadelphia, PA, 19104, USA

    M. B. Blake

Authors
  1. Kevin A. Gary
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  2. M. B. Blake
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Correspondence to Kevin A. Gary .

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Editors and Affiliations

  1. Software Engineering and Information Technology Institute, Central Michigan University, Mount Pleasant, Michigan, USA

    Roger Lee

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Gary, K.A., Blake, M.B. (2018). C-PLAD-SM: Extending Component Requirements with Use Cases and State Machines. In: Lee, R. (eds) Software Engineering Research, Management and Applications. SERA 2017. Studies in Computational Intelligence, vol 722. Springer, Cham. https://doi.org/10.1007/978-3-319-61388-8_6

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  • DOI: https://doi.org/10.1007/978-3-319-61388-8_6

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-61387-1

  • Online ISBN: 978-3-319-61388-8

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