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Transformation approach from KAOS goal models to BPMN models using refinement patterns

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Published:24 March 2014Publication History

ABSTRACT

It is important to make sure that software satisfies stakeholders' requirements. However, as software has been getting more large-scale and complicated in recent years, it has certainly become more difficult to satisfy requirements. Even if there are goal-oriented requirements analysis approaches as techniques to systematically satisfy stakeholders' requirements, it is still difficult to maintain consistency of goal models and other requirements artifacts. In this paper, we propose a transformation approach that transforms models of KAOS, a well-known goal modeling methodology, into preliminary BPMN models by using refinement pattern of KAOS in a systematic way. It can assure consistency between systematically defined user's requirements and their realization process.

References

  1. Axcel van Lamsweerde. Requirements Engineering: From System Goals to UML models to software specifications. WILEY, West Sussex, England, 2009. Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. Jose Luis de la Vara, Juan Sánchez, and Oscar Pastor. On the Use of Goal Models and Business Process Models for Elicitation of System Requirements. BPMDS 2013, Springer, pp. 168--181.Google ScholarGoogle Scholar
  3. Antoine Cailliau. Automating Model Transformations and Refactoring for Goal-Oriented Models. Master thesis, 2012.Google ScholarGoogle Scholar
  4. Laura Sánchez-González, Francisco Ruiz, Félix García, Jorge Cardoso. Towards Thresholds of Control Flow Complexity Measures for BPMN models. SAC2011, ACM, pp. 1445--1450. Google ScholarGoogle ScholarDigital LibraryDigital Library

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  1. Transformation approach from KAOS goal models to BPMN models using refinement patterns

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    • Published in

      cover image ACM Conferences
      SAC '14: Proceedings of the 29th Annual ACM Symposium on Applied Computing
      March 2014
      1890 pages
      ISBN:9781450324694
      DOI:10.1145/2554850

      Copyright © 2014 ACM

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      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 24 March 2014

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      • research-article

      Acceptance Rates

      SAC '14 Paper Acceptance Rate218of939submissions,23%Overall Acceptance Rate1,650of6,669submissions,25%

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