by Jörg P. Wadsack, Jörg Niere, Holger Giese, Jens H. Jahnke
Abstract:
Over the last decade globalisation has taken place and in parallel, the World Wide Web has broadly been adopted for electronic data interchange within and among corporate organizations. Distributed information management is therefore of critical importance in modern societies. A sound understanding of the inter-dependencies among the integrated Web information systems is a key prerequisite for the ability to efficiently evolve these systems step-by-step with rapidly changing requirements. Unfortunately, distributed data dependencies are rarely well-documented and existing database reverse engineering tools do little to support the recovery of these kinds of dependencies. In this paper we classify distributed data dependencies and propose an approach to extract them from existing networked systems.
Reference:
Towards Data Dependency Detection in Web Information Systems (Jörg P. Wadsack, Jörg Niere, Holger Giese, Jens H. Jahnke), In Proc. of the Database Maintenance and Reengineering Workshop (DBMR'2002), Montreal, Canada. (ICSM 2002 Workshop), 2002.
Bibtex Entry:
@InProceedings{WNGJ02_ag,
AUTHOR = {Wadsack, Jörg P. and Niere, Jörg and Giese, Holger and Jahnke, Jens H.},
TITLE = {{Towards Data Dependency Detection in Web Information Systems}},
YEAR = {2002},
MONTH = {October},
BOOKTITLE = {Proc. of the Database Maintenance and Reengineering Workshop (DBMR'2002), Montreal, Canada. (ICSM 2002 Workshop)},
URL = {http://www.upb.de/cs/ag-schaefer/Veroeffentlichungen/Quellen/Papers/2002/DBMR02.pdf},
PDF = {DBMR02.pdf},
ABSTRACT = {Over the last decade globalisation has taken place and in parallel, the World Wide Web has broadly been adopted for electronic data interchange within and among corporate organizations. Distributed information management is therefore of critical importance in modern societies. A sound understanding of the inter-dependencies among the integrated Web information systems is a key prerequisite for the ability to efficiently evolve these systems step-by-step with rapidly changing requirements. Unfortunately, distributed data dependencies are rarely well-documented and existing database reverse engineering tools do little to support the recovery of these kinds of dependencies. In this paper we classify distributed data dependencies and propose an approach to extract them from existing networked systems.}
}