Parsing for agile modeling

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

Preview

Text 16kurs_j.pdf - Published Version Available under License Creative Commons: Attribution-Share Alike (CC-BY-SA). Download (3MB) | Preview

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.

Interest & Impact

Downloads

224 since deposited on 07 Oct 2016
11 in the past 12 months

Citations

5 Citations in Web of Science ®
6 Citations in Scopus

Search

in Google Scholar™

Services

Actions (login required)

Edit item

Actions (login required)

Edit item