自动生成一致性实现模型编辑器

Patrick Neubauer, Robert Bill, Tanja Mayerhofer, M. Wimmer
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引用次数: 8

摘要

领域特定的建模语言(dsml)的进步和它们的编辑器是由现代语言工作台创建的,已经说服领域专家在他们的日常工作中将它们作为重要和强大的手段来应用。尽管这样的编辑器在保持语法模型正确性方面很精通,但是他们在掌握具有详细的特定于语言的约束的模型的一致性方面存在很大的不足,这需要语言工程师手动实现复杂的编辑功能。因此,需要自动化过程来支持编辑器用户理解和解决一致性违反。在本文中,我们提出了一种方法,可以自动生成dsml的高级编辑支持,提供自动验证、内容辅助和快速修复功能,而这些功能是由最先进的语言工作台创建的,可以帮助领域专家保留和实现模型的一致性。对于验证,我们将显示违反约束的潜在错误原因,而不仅仅是违反约束的上下文。通过在一个三阶段的过程中增加邻域范围,寻求约束修复解决方案作为快速修复提供给编辑器用户,我们的方法缓解了状态空间爆炸问题。我们基于一个用于服务集群建模的基于文本的DSML,对我们的方法进行了演示和初步评估。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Automated generation of consistency-achieving model editors
The advances of domain-specific modeling languages (DSMLs) and their editors created with modern language work-benches, have convinced domain experts of applying them as important and powerful means in their daily endeavors. Despite the fact that such editors are proficient in retaining syntactical model correctness, they present major shortages in mastering the preservation of consistency in models with elaborated language-specific constraints which require language engineers to manually implement sophisticated editing capabilities. Consequently, there is a demand for automating procedures to support editor users in both comprehending as well as resolving consistency violations. In this paper, we present an approach to automate the generation of advanced editing support for DSMLs offering automated validation, content-assist, and quick fix capabilities beyond those created by state-of-the-art language workbenches that help domain experts in retaining and achieving the consistency of models. For validation, we show potential error causes for violated constraints, instead of only the context in which constraints are violated. The state-space explosion problem is mitigated by our approach resolving constraint violations by increasing the neighborhood scope in a three-stage process, seeking constraint repair solutions presented as quick fixes to the editor user. We illustrate and provide an initial evaluation of our approach based on an Xtext-based DSML for modeling service clusters.
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