With the inception of Model-Driven Software Engineering (MDSD) the need for traceability is raised to understand the complexity of model transformations and overall to improve the quality of MDSD. Using the advantage of generating traceability information automatically in MDSD, eases the problem of creating and maintaining trace links, which is a labor intensive task, when done manually. Yet, there is still a wide range of open challenges in existing traceability solutions and a need to consolidate traceability domain knowledge. This paper proposes a generic framework for augmenting arbitrary model transformation approaches with a traceability mechanism. Essentially, this augmentation is based on a domain-specific language for traceability providing the formalization on integration conditions needed for implementing traceability. The paper is of positional nature and outlines work currently in progress.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.