By Zsolt Kocsis (auth.), Andy Schürr, Dániel Varró, Gergely Varró (eds.)
This e-book constitutes the completely refereed post-conference lawsuits of the 4th foreign Symposium on purposes of Graph ameliorations, AGTIVE 2011, held in Budapest, Hungary, in October 2011.
The thirteen revised complete papers offered including 2 invited talks, 2 program reviews and three device demonstration papers have been conscientiously chosen from 36 submissions in the course of rounds of reviewing and development. The papers are equipped in topical sections on invited speak abstracts, model-driven engineering, graph transformation functions, software demonstrations, graph transformation exploration ideas, graph transformation semantics and reasoning, software stories and bidirectional transformations.
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Extra info for Applications of Graph Transformations with Industrial Relevance: 4th International Symposium, AGTIVE 2011, Budapest, Hungary, October 4-7, 2011, Revised Selected and Invited Papers
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Computer Journal 50(1), 93–115 (2007) 13. : A powertype-based metamodelling framework. Software and Systems Modeling 5(1), 72–90 (2006) 14. : A Systematic Approach to Connectors in a Multi-level Modeling Environment. , Völter, M. ) MODELS 2008. LNCS, vol. 5301, pp. 843–857. Springer, Heidelberg (2008) 15. : Can programming be liberated from the two-level style? Multi-level programming with DeepJava. In: OOPSLA 2007: 22nd Annual ACM SIGPLAN Conference on Object-Oriented Programming, Systems, Languages and Applications, pp.
When it reaches zero, a pure instance that cannot be instantiated further is obtained. In Section 4, we provide a more precise definition for potency. In deep metamodelling, the elements in the top metalevel are pure types, the elements in the bottom metalevel are pure instances, and the elements at intermediate metalevels retain both a type and an instance facet. Because of that, they are all called clabjects, which is the merge of the words class and object [5]. Moreover, since in deep metamodelling the number of metalevels may change depending on the requirements, 22 A.
Table 2. 1]1 id1 2 Component datalink2 1 DataType Reference A Graph Transformation-Based Semantics for Deep Metamodelling Table 1 2 “Google Maps” idTable0 “Fusion Table” (c) S2 “UAM Campus” nameMapUAM0 oces0 “UAM Profs” (a) LM 0 UAMCamp nameTableUAM0 0 UAMProfs (d) S3 Fig. 7. The specifications S1 , S2 and S3 , after applying the rules Firstly, the application of tdt0 and ta1 adds to S2 the node String and the edges 1. In this way, the ontological typing morphism ω3 can be defined for all the elements of S3 , which makes S3 conform ontologically to S2 : nameMap and nameTable with potency ω3 (nameMapUAM) = nameMap ω3 (nameTableUAM) = nameTable ω3 (“UAMCampus”) = ω3 (“UAMProfs”) = String Secondly, the application of tacr2 and taca2 adds to S2 the atomic constraints ([mult(0, 1)], δ1 ), ([mult(1, 1)], δ2 ) and ([mult(1, 1)], δ3 ) with potency 1 on the edges geopos, nameMap and nameTable, respectively.