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Journal of Science Engineering and Technology (JSET)
Article . 2018 . Peer-reviewed
License: CC BY
Data sources: Crossref
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Development of a Non-Deterministic Finite Automaton with Epsilon Moves (E − NF A) Generator Using Thompson’s Construction Algorithm

Authors: null Gilbert M. Arces; null Eugene Val C. Mangaoang; null Michael Anthony Jay B. Regis; null Jomari Joseph A. Barrera;

Development of a Non-Deterministic Finite Automaton with Epsilon Moves (E − NF A) Generator Using Thompson’s Construction Algorithm

Abstract

The study designed and developed a finite state machine generator which converts a regular expression to its equivalent non-deterministic finite automaton with -moves ( − NF A). It implements Thompson’s construction algorithm, an algorithm that works recursively by splitting an expression into its constituent subexpressions, from which the − NF A will be constructed by a set of rules. The system accepts a valid regular expression and rejects an invalid one. The regular expression is then parsed and evaluated by a parse tree to be converted to its equivalent states. The states is then connected and generated as a whole to show the finite state machine. The finite state machine generator was implemented using the Java programming language with the JavaFX package to produce better quality and easy to use graphical interface. An online acceptability survey obtained a 3.96 (exceeded beyond expectation) acceptability rating.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
hybrid