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Authors: Reuven Yagel ; Anton Litovka and Iaakov Exman

Affiliation: The Jerusalem College of Engineering – Azrieli, Israel

Keyword(s): KDE, Runnable Knowledge, Ontology, Ontology States, Model Testing, Mock Objects.

Abstract: KDE – Knowledge Driven Engineering – is an extension of MDE to a higher level of abstraction, in which ontologies and their states replace the standard UML models. But in order to test in practice the KDE approach one needs to actually run the highly abstract ontologies and resulting models and code. This work describes the design and implementation of KoDEgen – a KDE tool for code generation – based on ontologies, ontology states and a scenario file. The implementation uses a modified Gherkin syntax. The tool is demonstrated in practice by generating the actual code for a few case-studies.

CC BY-NC-ND 4.0

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Paper citation in several formats:
Yagel, R.; Litovka, A. and Exman, I. (2013). KoDEgen: A Knowledge Driven Engineering Code Generating Tool. In Proceedings of the 4th International Workshop on Software Knowledge (IC3K 2013) - SKY; ISBN 978-989-8565-76-1, SciTePress, pages 24-33. DOI: 10.5220/0004640400240033

@conference{sky13,
author={Reuven Yagel. and Anton Litovka. and Iaakov Exman.},
title={KoDEgen: A Knowledge Driven Engineering Code Generating Tool},
booktitle={Proceedings of the 4th International Workshop on Software Knowledge (IC3K 2013) - SKY},
year={2013},
pages={24-33},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004640400240033},
isbn={978-989-8565-76-1},
}

TY - CONF

JO - Proceedings of the 4th International Workshop on Software Knowledge (IC3K 2013) - SKY
TI - KoDEgen: A Knowledge Driven Engineering Code Generating Tool
SN - 978-989-8565-76-1
AU - Yagel, R.
AU - Litovka, A.
AU - Exman, I.
PY - 2013
SP - 24
EP - 33
DO - 10.5220/0004640400240033
PB - SciTePress