Model-Driven Engineering as a new landscape for traceability management: A systematic literature review |
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| Affiliation: | 1. College of Computing, Federal University of Mato Grosso do Sul, Campo Grande, MS, Brazil;2. Centre of Informatics, Federal University of Pernambuco, Recife, PE, Brazil;3. Institute of Informatics, Federal University of Goiàs, Goiânia, GO, Brazil;4. Computing Science Department, Federal University of São Carlos, São Carlos, SP, Brazil;1. Software Projects Management Research Team, ENSIAS, Mohammed V University in Rabat, Morocco;2. Department of Software Engineering, École de Technologie Supérieure, Montréal, Canada;1. Faculty of Science and Engineering, University of Groningen, Nijenborgh 9, 9747 AG Groningen, room 576 Bernoulliborg, Postal code 9700 AK, The Netherlands;2. Instituto de Ciências Matemáticas e de Computação, University of São Paulo, Avenida Trabalhador Sancarlense, 400 - Centro, São Carlos, São Paulo, Postal code 13566-590, Brazil;3. Department of Computer Science, Katholieke Universiteit Leuven, Leuven BE-3001, Belgium;4. Department of Computer Science, Linnaeus University, Sweden;5. Faculty of Science and Engineering, University of Groningen, Nijenborgh 9, 9747 AG Groningen, room 574 Bernoulliborg, Postal code 9700 AK, The Netherlands |
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| Abstract: | ContextModel-Driven Engineering provides a new landscape for dealing with traceability in software development.ObjectiveOur goal is to analyze the current state of the art in traceability management in the context of Model-Driven Engineering.MethodWe use the systematic literature review based on the guidelines proposed by Kitchenham. We propose five research questions and six quality assessments.ResultsOf the 157 relevant studies identified, 29 have been considered primary studies. These studies have resulted in 17 proposals.ConclusionThe evaluation shows that the most addressed operations are storage, CRUD and visualization, while the most immature operations are exchange and analysis traceability information. |
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