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Among model comprehension tools, model slicers are tools that extract a subset from a model, for a specific purpose. Model slicers are tools that let modelers rapidly gather relevant knowledge from large models. However, existing slicers are dedicated to one modeling language. This is an issue when we observe that new domain specific modeling languages (DSMLs), for which we want slicing abilities, are created almost on a daily basis. This paper proposes the Kompren language to model and generate model slicers for any DSL (e.g. software development and building architecture) and for different purposes (e.g. monitoring and model comprehension). Kompren's abilities for model slicers construction is based on case studies from various domains.
model-driven engineering, [INFO.INFO-SE] Computer Science [cs]/Software Engineering [cs.SE], domain specific language, Model slicing
model-driven engineering, [INFO.INFO-SE] Computer Science [cs]/Software Engineering [cs.SE], domain specific language, Model slicing
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 24 | |
popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |