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Integrating run‐time changes into system and software process enactment
Author(s) -
Tran Hanh Nhi,
Hajmoosaei Mojtaba,
Percebois Christian,
Front Agnes,
Roncancio Claudia
Publication year - 2016
Publication title -
journal of software: evolution and process
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.371
H-Index - 29
eISSN - 2047-7481
pISSN - 2047-7473
DOI - 10.1002/smr.1783
Subject(s) - computer science , process (computing) , construct (python library) , component (thermodynamics) , graph , process management , dependency graph , software engineering , process modeling , dependency (uml) , work in process , database , theoretical computer science , programming language , operations management , engineering , physics , thermodynamics
In System and Software Engineering development, unforeseen changes occurring during process enactment are almost inevitable but often poorly managed due to a lack of efficient mechanisms for spontaneously handling these run‐time changes. We proposed a change‐aware process management system that allows process actors reporting emergent changes, analyzing possible impacts, and notifying people affected by the changes. To this end, we integrated a Change Management Component with a Process Management System . The Process Management System monitors process enactment and uses the run‐time process information to construct a Process dependency graph ( PDG ) representing the dependencies among the elements of running processes. The Change Management Component captures change requests sent asynchronously, then reasons the PDG to determine impacted elements. Our PDG reflects the information of process instances and therefore can uncover the intra‐process or inter‐processes dependencies that are invisible on process models. We implemented a prototype named CAPE based on the platform jBPM and the graph database Neo4j. Copyright © 2016 John Wiley & Sons, Ltd.