Abstract: The rapid advancement of web technologies coupled with evolving business needs make legacy transformation a necessity for enterprises around the world. However, the risks in such a transformation must be mitigated with an approach that is flexible enough to allow for a gradual and low risk transformation process. This paper presents a Service Oriented Architecture (SOA) workflow-based legacy transformation approach that allows for phased transformation in which a legacy system is first transformed into self-contained modular services accessible via a dedicated service layer. These modular services are managed through an AI-enabled workflow management layer that interacts with improved UI frontend for the system’s end users. This paper presents a hypothetical prototype in which an Oracle 5 legacy system is transformed using the proposed architecture. ASP .NET Core MVC as well as Pega business process management platform are utilized to practically assess the feasibility of the proposed approach.

Abdullah Al-Barakati, “Leveraging Artificial Intelligence–enabled Workflow Framework for Legacy Transformation” International Journal of Advanced Computer Science and Applications(IJACSA), 12(12), 2021. http://dx.doi.org/10.14569/IJACSA.2021.0121239

@article{Al-Barakati2021,
title = {Leveraging Artificial Intelligence–enabled Workflow Framework for Legacy Transformation},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2021.0121239},
url = {http://dx.doi.org/10.14569/IJACSA.2021.0121239},
year = {2021},
publisher = {The Science and Information Organization},
volume = {12},
number = {12},
author = {Abdullah Al-Barakati}
}