Journal of Symbolic Computation - Special issue on automatic programming
Domain-specific languages: an annotated bibliography
ACM SIGPLAN Notices
Impact Analysis - Towards a Framework for Comparison
ICSM '93 Proceedings of the Conference on Software Maintenance
Incremental Model Checking in the Modal Mu-Calculus
CAV '94 Proceedings of the 6th International Conference on Computer Aided Verification
Extending Software Change Impact Analysis into COTS Components
SEW '02 Proceedings of the 27th Annual NASA Goddard Software Engineering Workshop (SEW-27'02)
Supporting impact analysis: a semi-automated technique and associated tool
ICSM '95 Proceedings of the International Conference on Software Maintenance
When and how to develop domain-specific languages
ACM Computing Surveys (CSUR)
Hierarchical Edge Bundles: Visualization of Adjacency Relations in Hierarchical Data
IEEE Transactions on Visualization and Computer Graphics
Constructing and Visualizing Transformation Chains
ECMDA-FA '08 Proceedings of the 4th European conference on Model Driven Architecture: Foundations and Applications
CLOUD '10 Proceedings of the 2010 IEEE 3rd International Conference on Cloud Computing
An exercise in iterative domain-specific language design
Proceedings of the Joint ERCIM Workshop on Software Evolution (EVOL) and International Workshop on Principles of Software Evolution (IWPSE)
Formally specified type checkers for domain specific languages: experience report
Proceedings of the Tenth Workshop on Language Descriptions, Tools and Applications
Debugging in domain-specific modelling
SLE'10 Proceedings of the Third international conference on Software language engineering
Traceability visualization in metamodel change impact detection
Proceedings of the Second Workshop on Graphical Modeling Language Development
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Model transformations are commonly used to transform models suited for one purpose (e.g., describing a solution in a particular domain) to models suited for a related but different purpose (e.g., simulation or execution). The disadvantage of a transformational approach, however, is that feedback acquired from analyzing transformed models is not reported on the level of the problem domain but on the level of the transformed model. Expressing the feedback on the level of the problem domain requires improving traceability in model transformations. We propose to visualize traceability links in (chains of) model transformations, thus making traceability amenable for analysis.