Parsing for agile modeling

Kurs, Jan (2016). Parsing for agile modeling. (Dissertation, Universität Bern, Pilosophisch-naturwissenschaftliche Fakultät, Institut für Informatik)

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Agile modeling refers to a set of methods that allow for a quick initial development of an importer and its further refinement. These requirements are not met simultaneously by the current parsing technology. Problems with parsing became a bottleneck in our research of agile modeling. In this thesis we introduce a novel approach to specify and build parsers. Our approach allows for expressive, tolerant and composable parsers without sacrificing performance. The approach is based on a context-sensitive extension of parsing expression grammars that allows a grammar engineer to specify complex language restrictions. To insure high parsing performance we automatically analyze a grammar definition and choose different parsing strategies for different parts of the grammar. We show that context-sensitive parsing expression grammars allow for highly composable, tolerant and variable-grained parsers that can be easily refined. Different parsing strategies significantly insure high-performance of parsers without sacrificing expressiveness of the underlying grammars.

Item Type: Thesis (Dissertation)
Division/Institute: 08 Faculty of Science > Institute of Computer Science (INF)
UniBE Contributor: Kurs, Jan and Nierstrasz, Oscar Marius
Subjects: 000 Computer science, knowledge & systems
500 Science > 510 Mathematics
Language: English
Submitter: Igor Hammer
Date Deposited: 07 Oct 2016 14:56
Last Modified: 07 Oct 2016 14:56
URN: urn:nbn:ch:bel-bes-2377
Additional Information: e-Dissertation (edbe)
BORIS DOI: 10.7892/boris.89195

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