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Authors: Antonio M. Rinaldi 1 ; Valeria Vittorini 2 ; Roberto Nardone 2 and Stefano Marrone 3

Affiliations: 1 University of Naples Federico II, Italy ; 2 Dipartimento di Ingegneria Elettrica e Tecnologie dell’Informazione, Università di Napoli Federico II, DIETI, Napoli, Italy ; 3 Dipartimento di Matematica e Fisica, Seconda Universit`a di Napoli, Caserta, Italy

Abstract: Recent research advances have brought to a growing interest from both academic and industrial communities in the improvement of existing engineering processes by means of model-driven techniques. This method is starting to demonstrate its effectiveness by raising the level of abstraction and by improving the level of automation of traditional processes. One of these applications is related to V&V processes and in particular to the generation of system level test cases for critical systems. This chapter investigates the possibility to further improve such process by exploiting synergies between model-driven techniques and knowledge engineering ones. This work is developed in the context of Crystal, an EU Artemis funded research project, and focuses on a specific part of its framework. The proposed approaches are demonstrated by means of a case study in the field of railway signalling system.

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Paper citation in several formats:
M. Rinaldi, A.; Vittorini, V.; Nardone, R. and Marrone, S. (2014). Improving Automatic Test Case Generation Process with Knowledge Engineering in the Crystal Project. In European Project Space on Computational Intelligence, Knowledge Discovery and Systems Engineering for Health and Sports - EPS Rome; ISBN 978-989-758-154-0, SciTePress, pages 31-49. DOI: 10.5220/0006156500310049

@conference{eps rome14,
author={Antonio {M. Rinaldi}. and Valeria Vittorini. and Roberto Nardone. and Stefano Marrone.},
title={Improving Automatic Test Case Generation Process with Knowledge Engineering in the Crystal Project},
booktitle={European Project Space on Computational Intelligence, Knowledge Discovery and Systems Engineering for Health and Sports - EPS Rome},
year={2014},
pages={31-49},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006156500310049},
isbn={978-989-758-154-0},
}

TY - CONF

JO - European Project Space on Computational Intelligence, Knowledge Discovery and Systems Engineering for Health and Sports - EPS Rome
TI - Improving Automatic Test Case Generation Process with Knowledge Engineering in the Crystal Project
SN - 978-989-758-154-0
AU - M. Rinaldi, A.
AU - Vittorini, V.
AU - Nardone, R.
AU - Marrone, S.
PY - 2014
SP - 31
EP - 49
DO - 10.5220/0006156500310049
PB - SciTePress

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