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Marek Polak
Department of Software Engineering
Charles University in Prague
Malostranske namestí 25, 118 00 Praha 1, Czech Republic
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Martin Chytil
Department of Software Engineering
Charles University in Prague
Malostranske namestí 25, 118 00 Praha 1, Czech Republic
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Karel Jakubec
Department of Software Engineering
Charles University in Prague
Malostranske namestí 25, 118 00 Praha 1, Czech Republic
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Vladimír Kudelas
Department of Software Engineering
Charles University in Prague
Malostranske namestí 25, 118 00 Praha 1, Czech Republic
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Peter Pijak
Department of Software Engineering
Charles University in Prague
Malostranske namestí 25, 118 00 Praha 1, Czech Republic
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Martin Nečasky
Department of Software Engineering
Charles University in Prague
Malostranske namestí 25, 118 00 Praha 1, Czech Republic
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Irena Holubova (Mlynkova)
Department of Software Engineering
Charles University in Prague
Malostranske namestí 25, 118 00 Praha 1, Czech Republic
Data and Query Adaptation Using DaemonX
keywords: Evolution management, data adaptation, query adaptation
The most common applications of the today's IT world are information systems. The problems related to their design and implementation have sufficiently been solved. However, the true problems occur when an IS is already deployed and user requirements change. In this paper we introduce DaemonX -- an evolution management framework which enables to manage evolution of complex applications efficiently and correctly. Using the idea of plug-ins, it enables to model almost any kind of a data format (currently XML, UML, ER, and BPMN). Since it preserves also mapping among modeled constructs of modeled formats via a common platform-independent model, it naturally supports propagation of changes to all related and affected parts.
reference: Vol. 34, 2015, No. 1, pp. 99–137