Generic and standard database constraint meta-models
Many software engineering activities entail dealing with legacy information systems. When these systems become too costly to maintain, or when new technologies need to be incorporated, they need to be replaced or somehow reengineered. This can be done with significantly reduced amount of effort and...
Saved in:
| Published in | Computer Science and Information Systems Vol. 11; no. 2; pp. 679 - 696 |
|---|---|
| Main Authors | , , , |
| Format | Journal Article |
| Language | English |
| Published |
2014
|
| Online Access | Get full text |
| ISSN | 1820-0214 2406-1018 2406-1018 |
| DOI | 10.2298/CSIS140216037R |
Cover
| Summary: | Many software engineering activities entail dealing with legacy information
systems. When these systems become too costly to maintain, or when new
technologies need to be incorporated, they need to be replaced or somehow
reengineered. This can be done with significantly reduced amount of effort
and cost if the conceptual models of these systems are available. Reverse
engineering is the process of analyzing a subject system to create
representations of the system at a higher level of abstraction. Relational
databases are a common source of reverse engineering. Starting from a
physical database schema, that is recorded into relational database schema
data repository, the conceptual database schema or logical database schema
could be extracted. The extraction process may be seen as a chain of
model-to-model transformations that trace model elements from a model at the
lower level of abstraction to a model at the higher level of abstraction,
achieved through meta-modeling. In the paper we present generic and standard
database constraint meta-models, focusing on multi-relational database
constraints captured in a legacy database. These meta-models are aimed at
support of model transformations to create conceptual models, as a useful
source for the system reengineering process. |
|---|---|
| ISSN: | 1820-0214 2406-1018 2406-1018 |
| DOI: | 10.2298/CSIS140216037R |