Refine
Document Type
- Master's Thesis (1)
- Part of Periodical (1)
Keywords
- Data Mining (1)
- Dynamische Analyse (1)
- Java (1)
- Reengineering (1)
- SOMA (1)
- Service identification (1)
- Service-Identifizierung (1)
- Service-Oriented Architectures (SOA) (1)
- Serviceorientierte Architektur (1)
- Software migration (1)
- Software-Migration (1)
- legacy software (1)
- migration (1)
Institute
This paper proposes model-driven techniques to extend IBM- SOMA method towards migrating legacy systems into Service-Oriented Architectures (SOA). The proposal explores how graph-based querying and transformation techniques enable the integration of legacy assets into a new SOA. The presented approach is applied to the identification and migration of services in an open source Java software system.
Identifying reusable legacy code able to implement SOA services is still an open research issue. This master thesis presents an approach to identify legacy code for service implementation based on dynamic analysis and the application of data mining techniques. rnrnAs part of the SOAMIG project, code execution traces were mapped to business processes. Due to the high amount of traces generated by dynamic analyses, the traces must be post-processed in order to provide useful information. rnrnFor this master thesis, two data mining techniques - cluster analysis and link analysis - were applied to the traces. First tests on a Java/Swing legacy system provided good results, compared to an expert- allocation of legacy code.
