Conference paper
Modelling for Knowledge Discovery
Proceedings of the 2004 EDOC Workshop on Model-Driven Evolution of Legacy Systems (MELS)
Model-Driven Evolution of Legacy Systems (MELS) (Monteray, United States, 20-Sep-2004)
IEEE Computer Society
2004
Abstract
Modernization of legacy systems requires that a clear understanding be gained of those systems. In this position paper it is proposed that this understanding is best supported by modelling specific key aspects of the system. The validity or not of modelling is not argued, but rather the aspects that should be modelled are discussed. It is believed that the aspects will be of interest to all involved in modernization of legacy systems and not only those from the modelling community. The modelling approach taken in this work is derived from an initial submission [1] to the Object Management Group's (OMG) Request for Proposal on Knowledge Discovery for Architecture-Driven Modernization [3].
Details
- Title
- Modelling for Knowledge Discovery
- Authors
- Anna Gerber (Author) - University of QueenslandErica Mealy (Author) - University of QueenslandAnthony MacDonald (Author) - University of QueenslandMichael Lawley (Author) - University of QueenslandKerry Raymond (Author) - University of Queensland
- Publication details
- Proceedings of the 2004 EDOC Workshop on Model-Driven Evolution of Legacy Systems (MELS); 6
- Conference details
- Model-Driven Evolution of Legacy Systems (MELS) (Monteray, United States, 20-Sep-2004)
- Publisher
- IEEE Computer Society
- Date published
- 2004
- Organisation Unit
- School of Science and Engineering - Legacy; University of the Sunshine Coast, Queensland; School of Science, Technology and Engineering; Engage Research Lab
- Language
- English
- Record Identifier
- 99450997702621
- Output Type
- Conference paper
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