Abstract. In order to support the domain modeling process in model-based software development, we automatically create large networks of semantically related terms from natural language. Using part-of-speech tagging, lexical patterns and co-occurrence analysis, and several semantic improvement algorithms, we construct SemNet, a network of approximately 2.7 million single and multi-word terms and 37 million relations denoting the degree of semantic relatedness. This paper gives a comprehensive description of the construction of SemNet, provides examples of the analysis process and compares it to other knowledge bases. We demonstrate the application of the network within the Eclipse/Ecore modeling tools by adding semantically enhanced class name autocompletion and other semantic support facilities like concept similarity.
Abstract. We propose a model-based methodology for integration of heterogeneous distributed systems, based on the multi-level modeling abstractions, automated conflict analysis and connector code generation. The focus in this paper is on the metamodeling foundation necessary for this process, and consequently we introduce computation independent, platform specific, platform independent and semantic metamodels, which generate a set of domain specific languages used to describe software and data integration scenarios.
We observe that small and medium enterprises who wish to adopt domain specific modeling techniques do so under different preconditions and with different expectations. In our report, we categorize our observations made in 7 different industrial branches. Further, we present the current state of our solution to provide guidance to both ends of stakeholders involved in a DSM development lifecycle, domain experts and DSL designers. By supporting a DSL development process with semantic knowledge bases and metrics, our goal is to make a DSL development feasible and beneficial through the guidance provided by EXAMINE and within the DIESEL-Framework
Abstract. Software integration is one of the major needs as well as cost driving factors in the software industry today. Still, very few established methodologies exist, especially those addressing integration with respect to non-functional properties. Industry studies show that disregarded and hidden non-functional incompatibilities between systems and their interfaces are the constant source of errors and costly workarounds. We introduce a model-based process that allows dynamic definition of non-functional properties in the context of software integration, present a NFP taxonomy, and propose a method for formal analysis of interface incompatibilities with respect to these properties.
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