Abstract
Due to the huge size of modeling initiatives in practice, many companies struggle with assuring the quality of their process model collections. While many model properties can already be checked automatically, there is a notable gap concerning techniques for checking linguistic aspects such as naming conventions for process model elements. In this chapter, we aim at closing this gap by introducing techniques for automatically detecting and correcting linguistic guideline violations. The presented approaches build on the parsing techniques defined in the last chapter and facilitate a reliable and flexible detection and correction of guideline violations.
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© 2013 Springer International Publishing Switzerland
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Leopold, H. (2013). Detecting and Correcting Linguistic Guideline Violations. In: Leopold, H. (eds) Natural Language in Business Process Models. Lecture Notes in Business Information Processing, vol 168. Springer, Cham. https://doi.org/10.1007/978-3-319-04175-9_4
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DOI: https://doi.org/10.1007/978-3-319-04175-9_4
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-04174-2
Online ISBN: 978-3-319-04175-9
eBook Packages: Computer ScienceComputer Science (R0)