research-article

Supporting Dynamic Workflows with Automatic Extraction of Goals from BPMN

Authors:

Luca Sabatucci,

Massimo CossentinoAuthors Info & Claims

ACM Transactions on Autonomous and Adaptive Systems (TAAS), Volume 14, Issue 2

Article No.: 7, Pages 1 - 38

https://doi.org/10.1145/3355488

Published: 17 October 2019 Publication History

Abstract

Organizations willing to employ workflow technology have to be prepared to undertake a significant investment of time and effort due to the exceptionally dynamic nature of the business environment. Today, it is unlikely that processes are modeled once to be repeatedly executed without any changes. Goal-oriented dynamic workflows are a promising approach to provide flexibility to the execution of business processes. Many goal-oriented frameworks exist in the literature to be used for the purpose. However, modeling goals is a burden for the business analyst.

This work proposes an automatic approach for extracting goals from a business process for supporting adaptive workflows. The approach consists of a static analysis of the global workflow state. Goals derive from individual BPMN elements and their interactions.

For validating the theory, we developed the BPMN2Goals tool, which has been used for supporting a middleware for self-adaptation.

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Supporting Dynamic Workflows with Automatic Extraction of Goals from BPMN

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cover image ACM Transactions on Autonomous and Adaptive Systems

ACM Transactions on Autonomous and Adaptive Systems Volume 14, Issue 2

June 2019

137 pages

ISSN:1556-4665

EISSN:1556-4703

DOI:10.1145/3368391

Editor:
Bashar Nuseibeh
The Open University, UK, & Lero, Ireland

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Publication History

Published: 17 October 2019

Accepted: 01 August 2019

Revised: 01 July 2019

Received: 01 August 2018

Published in TAAS Volume 14, Issue 2

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