Semantic Differencing of Domain-Specific Models

项目目标：研究比较特定领域模型的方法，并使用有效的语义感知可视化来呈现所识别的差异。该项目将解决三个关键研究问题：1.在多大程度上可以重用领域特定语言的图形语法，以可视化模型中的差异，从而以有意义的方式符合它？2.定制的转换是否可以产生比通用抽象语法驱动的差异算法（例如，在EMF Compare和EMF Diff/Merge等工具中实现的算法）更有效的语义感知可视化？3.如果是的话，在这种定制的转换中是否可以识别出共性，从而可以将其提升到更高的抽象级别并简化其开发？

Project Objectives: To investigate approaches to compare domain-specific models and present theidentified differences using effective semantics-aware visualisations. The project will address three keyresearch questions:1. To what extent can the graphical syntax of a domain-specific language be reused to visualisedifferences in models that conform to it in a meaningful way?2. Can bespoke transformations produce more effective semantics-aware visualisations thangeneric abstract-syntax driven differencing algorithms (e.g. such as those implemented in toolslike EMFCompare and EMF Diff/Merge)?3. If so, can commonalities be identified in such bespoke transformations, which could be pulled upto a higher level of abstraction and simplify their development?