A Methodology for Generating BPEL Models from a Business Process Textual Description

Wiem Khlif, Nadia Aloui, Nourchène Ben Ayed

Abstract

Generating BPEL model from a Textual Description (TD) is essential to its reliable analysis. Nonetheless, creating or preserving TD-BPEL alignment is an issue when an organization develops or changes a BEPL model. Hence, it is possible to detect misalignment between BPEL model and text if changes are not applied to both representations. This paper proposes a new methodology that assists business analyst to derive BPEL models, which are aligned with their corresponding textual description. It uses the business concept’s template that is augmented by a set of transformation rules. Compared to existing methods, our methodology offers a complete alignment, which covers all BPEL elements. It is evaluated experimentally using the recall and precision rates.

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Paper Citation


in Harvard Style

Khlif W., Aloui N. and Ben Ayed N. (2021). A Methodology for Generating BPEL Models from a Business Process Textual Description. In Proceedings of the 16th International Conference on Evaluation of Novel Approaches to Software Engineering - Volume 1: ENASE, ISBN 978-989-758-508-1, pages 323-330. DOI: 10.5220/0010457403230330


in Bibtex Style

@conference{enase21,
author={Wiem Khlif and Nadia Aloui and Nourchène Ben Ayed},
title={A Methodology for Generating BPEL Models from a Business Process Textual Description},
booktitle={Proceedings of the 16th International Conference on Evaluation of Novel Approaches to Software Engineering - Volume 1: ENASE,},
year={2021},
pages={323-330},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010457403230330},
isbn={978-989-758-508-1},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 16th International Conference on Evaluation of Novel Approaches to Software Engineering - Volume 1: ENASE,
TI - A Methodology for Generating BPEL Models from a Business Process Textual Description
SN - 978-989-758-508-1
AU - Khlif W.
AU - Aloui N.
AU - Ben Ayed N.
PY - 2021
SP - 323
EP - 330
DO - 10.5220/0010457403230330