A pattern based methodology for evolution management in business process reuse
Today, there are Process-Aware Information Systems(PAIS) with a set of business process models which
vary over time to meet the new requirements. In a competitive environment, the key challenge of
enterprises is to reduce the cost and time of process design and application development. For this purpose, research on reuse in business process management
have introduced the concept of configurable process models which attempts to manage business process
variability, by integrating a set of process variants in a single model. In this context, many research works were interested in creating and elaborating
configurable process models. However, this has become insufficient since the configurable process model should
itself evolve to add new variations. In turn, this requires a comprehensive support for managing the evolution of configurable process models. In this paper, we present a complete pattern based methodology for managing the evolution of configurable process models in terms of activities, data and resources. Our objective is to propose a process patterns system for guiding designers in modeling and evolving configurable process models. Furthermore, our process patterns system will be used for an automated support so as to manage the evolution of configurable process models.
Keywords: PAIS, business process variability, process evolution, configurable process model, process pattern
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ABOUT THE AUTHORS
Hanae Sbai
She is a bachelor degree in mathematics and computer science at the University hassan 2 casablanca (2008), holder of a master degree on Computer Engineering at ENSIAS (2010). Currently is a Ph.D. student at ENSIAS. Her research focuses on variability and evolution management in Business process management.
Mounia Fredj
is a PhD in Computer Sciences. Professor in ENSIAS, (National Higher School for Computer Science and System analysis), Rabat, Morocco; Ongoing research interests: Information System Engineering, components, patterns, MDA approach.
Laila Kjiri
is a PhD in Computer Sciences. Professor in ENSIAS, (National Higher School for Computer Science and System analysis), Rabat, Morocco;
Hanae Sbai
She is a bachelor degree in mathematics and computer science at the University hassan 2 casablanca (2008), holder of a master degree on Computer Engineering at ENSIAS (2010). Currently is a Ph.D. student at ENSIAS. Her research focuses on variability and evolution management in Business process management.
Mounia Fredj
is a PhD in Computer Sciences. Professor in ENSIAS, (National Higher School for Computer Science and System analysis), Rabat, Morocco; Ongoing research interests: Information System Engineering, components, patterns, MDA approach.
Laila Kjiri
is a PhD in Computer Sciences. Professor in ENSIAS, (National Higher School for Computer Science and System analysis), Rabat, Morocco;