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

Wiem Khlif, Nadia Aloui, Nourchène Ben Ayed

2021

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.

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