Modernizing Legacy Systems: Software Technologies, Engineering Process and Business Practices
Modernizing Legacy Systems: Software Technologies, Engineering Process and Business Practices
Software Botryology, Automatic Clustering of Software Systems
DEXA '98 Proceedings of the 9th International Workshop on Database and Expert Systems Applications
Toward experimental evaluation of subsystem classification recovery techniques
WCRE '95 Proceedings of the Second Working Conference on Reverse Engineering
Using Clustering Algorithms in Legacy Systems Remodularization
WCRE '97 Proceedings of the Fourth Working Conference on Reverse Engineering (WCRE '97)
Software Architecture Recovery based on Pattern Matching
ICSM '03 Proceedings of the International Conference on Software Maintenance
Reverse engineering of framework design using a meta-patterns-based approach
AICCSA '05 Proceedings of the ACS/IEEE 2005 International Conference on Computer Systems and Applications
Hierarchical Clustering for Software Architecture Recovery
IEEE Transactions on Software Engineering
Data Flow Analysis: Theory and Practice
Data Flow Analysis: Theory and Practice
Information Systems Transformation: Architecture-Driven Modernization Case Studies
Information Systems Transformation: Architecture-Driven Modernization Case Studies
Deriving business rules from the models of existing information systems
Proceedings of the 12th International Conference on Computer Systems and Technologies
Lessons learned in applying formal concept analysis to reverse engineering
ICFCA'05 Proceedings of the Third international conference on Formal Concept Analysis
| Hi-index | 0.00 |
Modernization of existing software systems is expensive and not always successive process that involves many challenging activities. In order to support these activities, the Object Management Group within the Architecture-Driven Modernization initiative proposes a number of standard representations of views on existing software systems. The Knowledge Discovery Meta-model plays the fundamental role in this set of representations as it defines common concepts of software assets and their operational environments. This paper addresses issues related to the extraction of knowledge from the software assets and the representation according to the Knowledge Discovery Meta-model in order to abstract the business logic implemented in the system. It observes that although this meta-model minimizes the effort required to obtain representation, it has several drawbacks that limits its capability to express domain specific knowledge. It is believed that this paper will enable researchers and practitioners to get a better understanding of this kind of representation, prepare for the modernization activities, and provide a basis for the further research.