Data and Query Adaptation Using DaemonX

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

Adapting Service Interfaces when Business Processes Evolve

In the presented work, we study a derivation of an optimal communication XML schemas for a given conceptual model of a business process, complemented with a conceptual model of exchanged data and influence of a change in user requirements on derived XML schema. The work contains a review of important problems related to the topic. It also describes existing approaches of these problems. The work analyses a derivation of an optimal XML schema in detail. The approach presented in this thesis shows an ability to model exchanged data with a conceptual model of a business process. The thesis describes a solution, how to derive a concrete XML schema automaticly from a given conceptual model of exchanged data. Finally, the work contains a prototype implementation of the presented solution

Adapting Service Interfaces when Business Processes Evolve

In the presented work, we study a derivation of an optimal communication XML schemas for a given conceptual model of a business process, complemented with a conceptual model of exchanged data and influence of a change in user requirements on derived XML schema. The work contains a review of important problems related to the topic. It also describes existing approaches of these problems. The work analyses a derivation of an optimal XML schema in detail. The approach presented in this thesis shows an ability to model exchanged data with a conceptual model of a business process. The thesis describes a solution, how to derive a concrete XML schema automaticly from a given conceptual model of exchanged data. Finally, the work contains a prototype implementation of the presented solution

Evolution of artificial life

The task of the work is to implement a simulator of evolution of artificial life and make experiments with this application. The evolution is based on simple organisms which are evolved by natural choice. Genome of organisms consists of set of some parameters. Simulator distinguishes species of organisms and kinds of food. Application could be run by a script and it provides saving statistics information