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Fri 16 - Fri 23 October 2020
Wed 21 Oct 2020 15:40 - 16:00 at Room B - B3-Model Analysis and Validation Chair(s): Marsha Chechik

There is a large body of research on extracting models from code-related artifacts to enable model-based analyses of large software systems. However, engineers do not always have access to the entire code base of a system: some components may be procured from third-party suppliers based on a Model specification or their code may be generated automatically from Models. This paper introduces mel - a model extraction language and interpreter for extracting facts from Models represented in XMI; these facts can be combined with facts extracted from other system components to form a lightweight model of an entire software system. We provide preliminary evidence that mel is sufficient to specify fact extraction from Models that have very different XMI representations. We also show that it can be easier to use mel to create a fact extractor for a particular Model representation, than to develop a specialized fact extractor for the Model from scratch.

Wed 21 Oct
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15:00 - 16:15: Technical Track - B3-Model Analysis and Validation at Room B
Chair(s): Marsha ChechikUniversity of Toronto
models-2020-technical-track15:00 - 15:20
Jan Oliver RingertUniversity of Leicester, Syed Waqee WaliUniversity of Leicester, UK
DOI Pre-print
models-2020-technical-track15:20 - 15:40
Oszkár SemeráthBudapest University of Technology and Economics, Aren BabikianMcGill University, Anqi Li, Kristóf Marussy, Daniel VarroMcGill University / Budapest University of Technology and Economics
Link to publication
models-2020-technical-track15:40 - 16:00
Robert Hackman, Joanne M. AtleeUniversity of Waterloo, Finn HacketComputer Science, University of Waterloo, Michael W. GodfreyUniversity of Waterloo, Canada
models-2020-technical-track16:00 - 16:15