Towards rigorously faking bidirectional model transformations
Bidirectional model transformations (bx) are mechanisms for automatically restoring consistency between multiple concurrently modified models. They are, however, challenging to implement; many model transformation languages not supporting them at all. In this paper, we propose an approach for automa...
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Main Authors: | , , , |
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Format: | text |
Language: | English |
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Institutional Knowledge at Singapore Management University
2014
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Online Access: | https://ink.library.smu.edu.sg/sis_research/4913 https://ink.library.smu.edu.sg/context/sis_research/article/5916/viewcontent/PoskittDPR.AMT.2014.pdf |
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Institution: | Singapore Management University |
Language: | English |
Summary: | Bidirectional model transformations (bx) are mechanisms for automatically restoring consistency between multiple concurrently modified models. They are, however, challenging to implement; many model transformation languages not supporting them at all. In this paper, we propose an approach for automatically obtaining the consistency guarantees of bx without the complexities of a bx language. First, we show how to "fake" true bidirectionality using pairs of unidirectional transformations and inter-model consistency constraints in Epsilon. Then, we propose to automatically verify that these transformations are consistency preserving – thus indistinguishable from true bx – by defining translations to graph rewrite rules and nested conditions, and leveraging recent proof calculi for graph transformation verification. |
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