Towards Open Smart Services Platform

The landscape of services in the enterprise has changed significantly for both service providers and service clients over the last few years. In the IT services domain, the mega IT outsourcing service deals with a sole provider are diminishing fast. A typical service client is now consuming multiple IT services, from specialized providers, and services contracts has become smaller in size and duration. More importantly the line of business, not the IT, owns the decisions and the relationship for consuming services. This has also shifted the service consumption input from IT requirements into the business requirements. This new world is posing a new and unique set of opportunities and challenges for service providers in offering services, which include third party providers, to their clients, and for service clients to consume services from multiple providers. To facilitate offering and consuming such multi-vendor services, in this paper, we present a conceptual architecture for an open services platform which enables a given server provider (a service integrator) to offer services to its clients that are a mixture of its own and other services from third party providers. It also enables service clients to look for and choose services from multiple vendors in a seamless, integrated and consistent manner

ProcessGPT: Transforming Business Process Management with Generative Artificial Intelligence

Generative Pre-trained Transformer (GPT) is a state-of-the-art machine learning model capable of generating human-like text through natural language processing (NLP). GPT is trained on massive amounts of text data and uses deep learning techniques to learn patterns and relationships within the data, enabling it to generate coherent and contextually appropriate text. This position paper proposes using GPT technology to generate new process models when/if needed. We introduce ProcessGPT as a new technology that has the potential to enhance decision-making in data-centric and knowledge-intensive processes. ProcessGPT can be designed by training a generative pre-trained transformer model on a large dataset of business process data. This model can then be fine-tuned on specific process domains and trained to generate process flows and make decisions based on context and user input. The model can be integrated with NLP and machine learning techniques to provide insights and recommendations for process improvement. Furthermore, the model can automate repetitive tasks and improve process efficiency while enabling knowledge workers to communicate analysis findings, supporting evidence, and make decisions. ProcessGPT can revolutionize business process management (BPM) by offering a powerful tool for process augmentation, automation and improvement. Finally, we demonstrate how ProcessGPT can be a powerful tool for augmenting data engineers in maintaining data ecosystem processes within large bank organizations. Our scenario highlights the potential of this approach to improve efficiency, reduce costs, and enhance the quality of business operations through the automation of data-centric and knowledge-intensive processes. These results underscore the promise of ProcessGPT as a transformative technology for organizations looking to improve their process workflows.Comment: Accepted in: 2023 IEEE International Conference on Web Services (ICWS); Corresponding author: Prof. Amin Beheshti ([email protected]

An Approach for Reducing the Gap between BPMN Models and Implementation Artifacts

The need for using high-level modeling tools (e.g. BPMN) isincreasing considerably. The proliferation of the service oriented architectures (SOA) is also apparent. In this context, there is a gap between the developed model and its execution. This work introduces the MoSC Translator which translates models produced in BPMN into executable WS-BPEL processes

Towards Generating Richer Code by Binding Security Abstractions to BPMN Task Types

This paper presents an approach for binding security requirements to different BPMN task types to create secure executable business processes.This paper presents an approach for binding security requirements to different BPMN task types to create secure executable business processes

Service Composition Adaptation: an Overview

to be published by CPS (November 2012)Due to the heterogeneity and independent development of Web services, significant research efforts on the adaptation techniques have been realized to tackle with service interaction incompatibility. In this paper, we present an overview on recently proposed techniques dealing with two different levels of mismatches: service interface and service business protocol. The first level refers to mismatches between service signatures whereas the latter concerns with the ordering of messages exchange