this post was submitted on 29 Dec 2022
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Computer Science Research

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Parsing plays an important role in static program analy- sis: during this step a structural representation of code is created upon which further analysis is performed. Parser generator tools, being pro- vided with syntax specification, automate parser development. Language documentation often acts as such specification. Documentation usually takes form of ambiguous grammar in Extended Backus-Naur Form which most parser generators fail to process. Automatic grammar transforma- tion generally leads to parsing performance decrease. Some approaches support EBNF grammars natively, but they all fail to handle ambigu- ous grammars. On the other hand, Generalized LL parsing algorithm admits arbitrary context-free grammars and achieves good performance, but cannot handle EBNF grammars. The main contribution of this pa- per is a modification of GLL algorithm which can process grammars in a form which is closely related to EBNF (Extended Context-Free Gram- mar). We also show that the modification improves parsing performance as compared to grammar transformation-based approach.

Also contains a full GLL implementation.

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