Model-Driven Engineering as a new landscape for traceability management: A systematic literature review

  • Authors:

  • IváN Santiago;ÁLvaro JiméNez;Juan Manuel Vara;Valeria De Castro;VeróNica A. Bollati;Esperanza Marcos

  • Affiliations:

  • Kybele Research Group, Department of Computing Languages and Systems II, Rey Juan Carlos University, 28933 Móstoles, Madrid, Spain;Kybele Research Group, Department of Computing Languages and Systems II, Rey Juan Carlos University, 28933 Móstoles, Madrid, Spain;Kybele Research Group, Department of Computing Languages and Systems II, Rey Juan Carlos University, 28933 Móstoles, Madrid, Spain;Kybele Research Group, Department of Computing Languages and Systems II, Rey Juan Carlos University, 28933 Móstoles, Madrid, Spain;Kybele Research Group, Department of Computing Languages and Systems II, Rey Juan Carlos University, 28933 Móstoles, Madrid, Spain;Kybele Research Group, Department of Computing Languages and Systems II, Rey Juan Carlos University, 28933 Móstoles, Madrid, Spain

  • Venue:
  • Information and Software Technology
  • Year:
  • 2012

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Abstract

Context: Model-Driven Engineering provides a new landscape for dealing with traceability in software development. Objective: Our goal is to analyze the current state of the art in traceability management in the context of Model-Driven Engineering. Method: We use the systematic literature review based on the guidelines proposed by Kitchenham. We propose five research questions and six quality assessments. Results: Of the 157 relevant studies identified, 29 have been considered primary studies. These studies have resulted in 17 proposals. Conclusion: The evaluation shows that the most addressed operations are storage, CRUD and visualization, while the most immature operations are exchange and analysis traceability information.