Identifying objects using cluster and concept analysis
Proceedings of the 21st international conference on Software engineering
Recovery of Architectural Structure: A Case Study
Proceedings of the Second International ESPRIT ARES Workshop on Development and Evolution of Software Architectures for Product Families
Proceedings of the 26th International Conference on Software Engineering
Documenting after the fact: Recovering architectural design decisions
Journal of Systems and Software
Automated translation of Java source code to Eiffel
TOOLS'11 Proceedings of the 49th international conference on Objects, models, components, patterns
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We propose an incremental approach to the identification of (business) objects in legacy applications. In this approach different object identification scenarios can be applied alternately. Three different strategies are presented: function driven, data driven and object driven objectification. We discuss these scenarios and report on experiences gained from applying them to a subsystem of a real life mortgage system. We also discuss related work.