z-logo
Premium
Optimising unicode regular expression evaluation with previews
Author(s) -
Chivers Howard
Publication year - 2017
Publication title -
software: practice and experience
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.437
H-Index - 70
eISSN - 1097-024X
pISSN - 0038-0644
DOI - 10.1002/spe.2436
Subject(s) - unicode , regular expression , computer science , expression (computer science) , automaton , character (mathematics) , deterministic finite automaton , point (geometry) , theoretical computer science , pattern matching , algorithm , programming language , artificial intelligence , mathematics , geometry
Summary The jsre regular expression library was designed to provide fast matching of complex expressions over large input streams using user‐selectable character encodings. An established design approach was used: a simulated non‐deterministic automaton (NFA) implemented as a virtual machine, avoiding exponential cost functions in either space or time. A deterministic automaton (DFA) was chosen as a general dispatching mechanism for Unicode character classes, and this also provided the opportunity to use compact DFAs in various optimization strategies. The result was the development of a regular expression Preview which provides a summary of all the matches possible from a given point in a regular expression in a form that can be implemented as a compact DFA and can be used to further improve the performance of the standard NFA simulation algorithm. This paper formally defines a preview and describes and evaluates several optimizations using this construct. They provide significant speed improvements accrued from fast scanning of anchor positions, avoiding retesting of repeated strings in unanchored searches and efficient searching of multiple alternate expressions which in the case of keyword searching has a time complexity which is logarithmic in the number of words to be searched. Copyright © 2016 John Wiley & Sons, Ltd.

This content is not available in your region!

Continue researching here.

Having issues? You can contact us here