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Requirements traceability in model-driven development: Applying model and transformation conformance

Author

Listed:
  • João Paulo A. Almeida

    (Federal University of Espírito Santo
    University of Twente)

  • Maria-Eugenia Iacob

    (University of Twente)

  • Pascal Eck

    (University of Twente)

Abstract

The variety of design artifacts (models) produced in a model-driven design process results in an intricate relationship between requirements and the various models. This paper proposes a methodological framework that simplifies management of this relationship, which helps in assessing the quality of models, realizations and transformation specifications. Our framework is a basis for understanding requirements traceability in model-driven development, as well as for the design of tools that support requirements traceability in model-driven development processes. We propose a notion of conformance between application models which reduces the effort needed for assessment activities. We discuss how this notion of conformance can be integrated with model transformations.

Suggested Citation

  • João Paulo A. Almeida & Maria-Eugenia Iacob & Pascal Eck, 2007. "Requirements traceability in model-driven development: Applying model and transformation conformance," Information Systems Frontiers, Springer, vol. 9(4), pages 327-342, September.
  • Handle: RePEc:spr:infosf:v:9:y:2007:i:4:d:10.1007_s10796-007-9038-3
    DOI: 10.1007/s10796-007-9038-3
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    Citations

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    Cited by:

    1. Álvaro Carrera & Carlos A. Iglesias & Mercedes Garijo, 2014. "Beast methodology: An agile testing methodology for multi-agent systems based on behaviour driven development," Information Systems Frontiers, Springer, vol. 16(2), pages 169-182, April.
    2. Chi-Lun Liu & Heng-Li Yang, 2012. "Applying ontology-based blog to detect information system post-development change requests conflicts," Information Systems Frontiers, Springer, vol. 14(5), pages 1019-1032, December.
    3. Chulhwan Chris Bang, 2015. "Information systems frontiers: Keyword analysis and classification," Information Systems Frontiers, Springer, vol. 17(1), pages 217-237, February.

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