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2015 IEEE 24th International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises (WETICE) (2015)
Larnaca, Cyprus
June 15, 2015 to June 17, 2015
ISBN: 978-1-4673-7691-4
pp: 156-161
ABSTRACT
In complex domains with features of collaboration and integration, changes taking place in one process may have positive or negative impacts on other collaborative partners and processes. Therefore, supporting changes propagation as well as analysis the impact of changes are desirable functionalities of Business Process Management Systems (BPMSs) and have been investigated in many researches. This paper presents a method to analyze the impacts of process changes at run-time in order to help process practitioners deciding to adopt or not a change. We propose an approach based on Process Dependency Graph (PDG) to represent and monitor the dependencies among running process instances managed by a BPMS. When a change happens, we analyze the PDG graph to deduce the affected process elements and then assess the impact of change by using quantitative metrics extended from the workflow Quality of Service (QoS). Our approach thus provides a generic framework that can be adapted to a specific process domain and a BPMS. The work presented here was validated on some processes in Health-care and Software Development domains with the use of jBPM as a BPMS and Neo4j as a graph database to store and traverse the PDG.
INDEX TERMS
Quality of service, Delays, Interviews, Encoding, Software, Collaboration
CITATION

M. Hajmoosaei, H. Tran, C. Percebois, A. Front and C. Roncancio, "Impact Analysis of Process Change at Run-Time," 2015 IEEE 24th International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises (WETICE), Larnaca, Cyprus, 2015, pp. 156-161.
doi:10.1109/WETICE.2015.10
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