2014 IEEE Eighth International Conference on Research Challenges in Information Science (RCIS) 2014
DOI: 10.1109/rcis.2014.6861075
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On the use of graph transformations for model composition traceability

Abstract: Abstract-The model composition provides support to build systems based on a set of less complex sub-models. This operation allows managing complexity while supporting the modularity and reusability tasks. Due to the increase number of the involving models, their composition becomes a tedious task. For that, the need for maintaining traceability information is raised to help managing the composition operation. We propose in this work a graph-based model transformations approach, which aims to keep track of the … Show more

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Cited by 3 publications
(5 citation statements)
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“…Hence, a context can be viewed as a well thought out combination of attributes, and it can be used to structure a set of traces that share the same contextual information. We have to notice that mechanisms for generating contexts were presented in a previous work [10] and are not within the scope of this paper.…”
Section: Composition Traceability Metamodelmentioning
confidence: 99%
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“…Hence, a context can be viewed as a well thought out combination of attributes, and it can be used to structure a set of traces that share the same contextual information. We have to notice that mechanisms for generating contexts were presented in a previous work [10] and are not within the scope of this paper.…”
Section: Composition Traceability Metamodelmentioning
confidence: 99%
“…Finally, the remaining unit removes all the temporary data we use to achieve the weaving operation and which pollute the specification model. The specialization of this weaving process for the EML [11] and ATL [12] languages is detailed in our former works [9,10] .…”
Section: Graph Transformations For Traceability Aspect Weavingmentioning
confidence: 99%
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“…Fig. 3 depicts our composition traceability metamodel [2]. It specifies two types of trace links: merging links and translation links.…”
Section: A Generic Metamodel For Structuring Tracesmentioning
confidence: 99%