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Abstract parsing: Static analysis of dynamically generated string output using LR-parsing technology

Authors
Doh, Kyung-GooKim, HyunhaSchmidt, David A.
Issue Date
Aug-2009
Publisher
Springer Verlag
Keywords
Parsing technologies; Context free languages; Context-free structures; Reference grammar; Document languages; Abstracting; Synthetic aperture sonar; Control structure; Markup languages; Static analysis; Computational linguistics; Data flow analysis; Elect
Citation
Lecture Notes in Computer Science, v.5673, pp 256 - 272
Pages
17
Indexed
OTHER
Journal Title
Lecture Notes in Computer Science
Volume
5673
Start Page
256
End Page
272
URI
https://scholarworks.bwise.kr/erica/handle/2021.sw.erica/40983
DOI
10.1007/978-3-642-03237-0_18
ISSN
0302-9743
1611-3349
Abstract
We combine LR(k)-parsing technology and data-flow analysis to analyze, in advance of execution, the documents generated dynamically by a program. Based on the document language's context-free reference grammar and the program's control structure, the analysis predicts how the documents will be generated and parses the predicted documents. Our strategy remembers context-free structure by computing abstract LR-parse stacks. The technique is implemented in Objective Caml and has statically validated a suite of PHP programs that dynamically generate HTML documents. © 2009 Springer.
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