2017
DOI: 10.1007/978-3-319-61470-0_13
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GRAPE – A Graph Rewriting and Persistence Engine

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Cited by 8 publications
(4 citation statements)
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“…The inherent complexity related to stateful computation and non-deterministic choice between possible derivations complicates the implementation of execution engines for GT programs. To the best of our knowledge, PROGRES [17], Grape [19], and GP [12] are the only GT tools that implement backtracking mechanisms, capable of reconstructing graphs at non-deterministic choice points. The PROGRES project has been discontinued since its platform is no longer available.…”
Section: Related Workmentioning
confidence: 99%
See 2 more Smart Citations
“…The inherent complexity related to stateful computation and non-deterministic choice between possible derivations complicates the implementation of execution engines for GT programs. To the best of our knowledge, PROGRES [17], Grape [19], and GP [12] are the only GT tools that implement backtracking mechanisms, capable of reconstructing graphs at non-deterministic choice points. The PROGRES project has been discontinued since its platform is no longer available.…”
Section: Related Workmentioning
confidence: 99%
“…GrapeVine is implemented on top of the Neo4J graph database and derives much of its scalability from that architecture. The tool is a fundamentally new revision of the earlier tools Grape [19] and Grape Press [20]. Compared to these earlier tools, the main novelty in GrapeVine is its functional computational model, where graphs are considered immutable and programs can be deterministic.…”
Section: Grapevine: a Short Overviewmentioning
confidence: 99%
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“…Da Costa Cavalheiro et al (2017) presented theoretical foundation to verify graph grammar using negative application condition and attributes by generating an event-B model useful in modeling and verification. Weber (2017) described persistent, programmed transaction, graph rewriting and persistence engine which is a hybrid, embedded domain-specific language for graph transformation. Vilgertshofer and Borrmann (2017) suggested semi-automated parametric infrastructure model based on graph transformation and graph rewriting method to achieve scalability and flexibility.…”
Section: Introductionmentioning
confidence: 99%