Titlebook: ;

goodwill

cornucopia

偽造者

Modelling and Static Analysis of Self-adaptive Systems by Graph Transformation). A case study modelling a business process that adapts to changing environment conditions is used to demonstrate and validate the formal framework [BKM.12]. The modelling framework described in this chapter is based on joint work of the authors with Antonio Bucchiarone, Patrizio Pellicione and Olga Runge [EER.10, BEE.13, BEE.15].

敲竹杠

https://doi.org/10.1007/978-981-19-8736-6rs (TGGs) as a powerful technique for bidirectional model transformations. Sect. 3.3 provides an overview of how these concepts are used as a foundation for Part III. This chapter is based on previous work [Erm09, EE10, HHK10, EEE.07, HEGO14].

BUOY

NICE

Model Transformationrs (TGGs) as a powerful technique for bidirectional model transformations. Sect. 3.3 provides an overview of how these concepts are used as a foundation for Part III. This chapter is based on previous work [Erm09, EE10, HHK10, EEE.07, HEGO14].

FUME

Model Synchronisationtion that ensures correctness and completeness based on the theory of TGGs. It is inspired by work on incremental synchronisation by Giese et al. [GW09, GH09], and the model synchronisation framework by Diskin [Dis11].

Peak-Bone-Mass

https://doi.org/10.1007/978-3-319-58287-0In this general introduction we give a general overview of graph and model transformation and a short overview of the parts and chapters of this book. The main questions are the following:

赦免

Emmenagogue

General IntroductionIn this general introduction we give a general overview of graph and model transformation and a short overview of the parts and chapters of this book. The main questions are the following: