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Authors: N. Chadli 1 ; M. I. Kabbaj 2 and Z. Bakkoury 3

Affiliations: 1 Mohammed V University, Avenue des Nations Unies, Rabat, Morocco, Mohammadia Engineering School, Avenue Ibn Sina, Rabat, Morocco, Morocco ; 2 Mohammed V University, Avenue des Nations Unies, Rabat, Morocco, Morocco ; 3 2Mohammadia Engineering School, Avenue Ibn Sina, Rabat, Morocco

Keyword(s): Data Flow modeling, Active Help, Loop Modeling, Verification, Validation.

Abstract: The data flow in business process modeling is created and distributed by the exchange of data moving from a task to another in information systems. Among open issues in workflow modeling is the detection of errors for data flow and control flow correctness. Recently researchers have focused on detecting errors by applying an active help with a concept of Data-Record. However, this method does not support a loop modeling yet. The goal of this paper is to apply an active help with a Data-Record concept in order to detect data flow anomalies in loop modeling. We propose to improve the active help approach by some suitable Rules for loop modeling. In this context, a decision node, using a data connection as an input data, replaces the connector Xor-split. The input data of the decision node is returned to the last activity by a feedback when the error message is found. The proposed approach is validated using a deterministic finite state process model which uses a logic Boolean predicate (Yes or No) to specify the routing of an input data. Moreover, anomalies such as Missing Data, Conflicting Data and redundant Data are used. The verification is triggered when an anomaly is detected, where the system is locked until a correction is performed. The results show that Missing Data anomalies are efficiently handled by the proposed approach. (More)

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Paper citation in several formats:
Chadli, N.; Kabbaj, M. and Bakkoury, Z. (2020). An Improved Ad Hoc Approach based on Active Help Method to Detect Data Flow Anomalies in a Loop of Business Process Modeling. In Proceedings of the 1st International Conference of Computer Science and Renewable Energies - ICCSRE; ISBN 978-989-758-431-2, SciTePress, pages 284-290. DOI: 10.5220/0009775402840290

@conference{iccsre20,
author={N. Chadli. and M. I. Kabbaj. and Z. Bakkoury.},
title={An Improved Ad Hoc Approach based on Active Help Method to Detect Data Flow Anomalies in a Loop of Business Process Modeling},
booktitle={Proceedings of the 1st International Conference of Computer Science and Renewable Energies - ICCSRE},
year={2020},
pages={284-290},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0009775402840290},
isbn={978-989-758-431-2},
}

TY - CONF

JO - Proceedings of the 1st International Conference of Computer Science and Renewable Energies - ICCSRE
TI - An Improved Ad Hoc Approach based on Active Help Method to Detect Data Flow Anomalies in a Loop of Business Process Modeling
SN - 978-989-758-431-2
AU - Chadli, N.
AU - Kabbaj, M.
AU - Bakkoury, Z.
PY - 2020
SP - 284
EP - 290
DO - 10.5220/0009775402840290
PB - SciTePress