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Authors: Paulo Roberto Massa Cereda and João José Neto

Affiliation: Universidade de São Paulo, Brazil

Keyword(s): Context-free Language, Structured Pushdown Automaton, Instrumentation.

Related Ontology Subjects/Areas/Topics: Enterprise Information Systems ; Information Systems Analysis and Specification ; Software Metrics and Measurement ; Tools, Techniques and Methodologies for System Development

Abstract: Instrumentation plays a crucial role when building language recognizers, as collected data provide basis for achieving better performance and model improvements, thus offering a balance between time and space, as demanded by practical applications. This paper presents a simple yet functional semiautomatic approach for generating a instrumentation-aware context-free language recognizer, enhanced with hooks, from a grammar written using the Wirth syntax notation. The entire process is aided by a set of command line tools, freely available for download. We also introduce the concept of an instrumentation layer enclosing the underlying recognizer, acting as observer for each computational step and collecting data for later use.

CC BY-NC-ND 4.0

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Paper citation in several formats:
Cereda, P. and José Neto, J. (2017). Instrumenting a Context-free Language Recognizer. In Proceedings of the 19th International Conference on Enterprise Information Systems - Volume 2: ICEIS; ISBN 978-989-758-248-6; ISSN 2184-4992, SciTePress, pages 203-210. DOI: 10.5220/0006212002030210

@conference{iceis17,
author={Paulo Roberto Massa Cereda. and João {José Neto}.},
title={Instrumenting a Context-free Language Recognizer},
booktitle={Proceedings of the 19th International Conference on Enterprise Information Systems - Volume 2: ICEIS},
year={2017},
pages={203-210},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006212002030210},
isbn={978-989-758-248-6},
issn={2184-4992},
}

TY - CONF

JO - Proceedings of the 19th International Conference on Enterprise Information Systems - Volume 2: ICEIS
TI - Instrumenting a Context-free Language Recognizer
SN - 978-989-758-248-6
IS - 2184-4992
AU - Cereda, P.
AU - José Neto, J.
PY - 2017
SP - 203
EP - 210
DO - 10.5220/0006212002030210
PB - SciTePress