AuthorsL. Moonen
TitleGenerating Robust Parsers Using Island Grammars
StatusAccepted
Publication TypeProceedings, refereed
Year of Publication2001
Conference NameProceedings 8th Working Conference on Reverse Engineering
Pagination13-22
Date Publishedoct
PublisherIEEE
Abstract

Source model extraction, the automated extraction of information from system artifacts, is a common phase in reverse engineering tools. One of the major challenges of this phase is creating extractors that can deal with irregularities in the artifacts that are typical for the reverse engineering domain (for example, syntactic errors, incomplete source code, language dialects and embedded languages). This paper proposes a solution in the form of island grammars, a special kind of grammars that combine the detailed specifcation possibilities of grammars with the liberal behavior of lexical approaches. We show how island grammars can be used to generate robust parsers that combine the accuracy of syntactical analysis with the speed, flexibility and tolerance usually only found in lexical analysis. We conclude with a discussion of the development of MANGROVE, a generator for source model extractors based on island grammars and describe its application to a number of case studies. Keywords and phrases: Island grammars, parser generation, source model extraction, partial parsing, fuuy parsing, re- verse engineering, program analysis.

Citation KeySimula.SE.509