References of Database_Migration

@InProceedings{	  jahnke.schäfer.ea:design,
  author	= {J.-H. Jahnke and W. Schäfer and A. Zündorf},
  title		= {A Design Environment for Migrating Relational to
		  Object-Oriented Database Systems},
  booktitle	= {Proceedings of the  International Conference on Software
		  Maintenance ~1996},
  publisher	= {IEEE Computer Society Press},
  year		= {1996},
  abstract	= {Object-oriented technology has become mature enough to
		  satisfy many new requirements coming from areas like
		  computer-aided design (CAD) computer-integrated
		  manufacturing (CIM) or software engineering (SE). However a
		  competetive information management infrastructure often
		  demands to merge data from CAD- CIM- or SE-systems with
		  business data stored in a relational system. In addition
		  complex dependencies between those data stored in the
		  different systems might exist and should be maintained. One
		  approach for seamless integration of object-oriented and
		  relational systems is to migrate the data (and the
		  corresponding schema) from a relational to an
		  object-oriented system. In this paper we describe an
		  integrated design environment that supports the migration
		  process and overcomes major drawbacks of comparable
		  approaches.},
  class		= {Alteration, Re-Design, Database_Migration }
}

@Book{		  jahnke.schäfer.ea:generic,
  author	= {J.-H. Jahnke and W. Schäfer and A. Zündorf},
  title		= {Generic Fuzzy Reasoning Nets as a Basis for Reverse
		  Engineering Relational Database Applications},
  booktitle	= {Proceedings of the European Conference on Software
		  Engineering 1997},
  publisher	= {Springer Verlag},
  year		= {1997},
  month		= {September},
  abstract	= {Object-oriented technology has become mature enough to
		  satisfy many new requirements coming from areas like
		  computer-aided design (CAD) computer-integrated
		  manufacturing (CIM) or software engineering (SE). However a
		  competitive information management infrastructure often
		  demands to merge data from CAD- CIM- or SE-systems with
		  business data stored in a relational system. One approach
		  for seamless integration of object- oriented and relational
		  systems is to migrate from a relational to an object-
		  oriented system. The first step in this migration process
		  is reverse engineering of the legacy database. In this
		  paper we propose a new graphical and executable language
		  called Generic Fuzzy Reasoning Nets for modelling and
		  applying reverse engineering knowledge. In particular this
		  language enables to define and analyse fuzzy knowledge
		  which is usually all what is available when an existing
		  database schema has to be reverse engineered into an
		  object-oriented one. The analysis process is based on
		  executing a fuzzy petri net which is parameterized with the
		  fuzzy knowledge about a concrete data base application.},
  class		= {Alteration, Re-Design, Database_Migration }
}

@PhDThesis{	  jahnke:managing,
  author	= {Jens-Holger Jahnke},
  title		= {Managing Uncertainty and Inconsistency in Database
		  Reengineering Processes},
  school	= {University of Paderborn, Department of Mathematics and
		  Computer Science},
  year		= {1999},
  address	= {33095 Paderborn, Germany},
  month		= {August},
  abstract	= {This dissertation tackles one of the most urgent problems
		  in today's information technology, namely the renovation
		  and migration of legacy information systems to modern
		  platforms and net-centric architectures. In this context,
		  several methods, tools, and processes have been proposed to
		  support reengineering and modernizations of legacy database
		  applications. This can be a complex task because many
		  legacy databases have grown over several generations of
		  programmers and lack a sufficient documentation.
		  Computer-aided reengineering methods and processes have a
		  great potential to reduce the complexity and risks involved
		  in database design recovery and migration projects. Still,
		  current reengineering tools are hardly adopted for
		  practical problems in industry because they often make
		  idealistic assumptions about the structure of legacy
		  systems and the characteristics of reengineering processes.
		  The goal of this thesis is to provide concepts and
		  techniques to overcome these severe limitations. In
		  particular, our focus is on developing mechanisms to manage
		  uncertainty and inconsistency in computer-aided databases
		  reengineering processes. In practice, uncertain knowledge
		  plays an important role in activities aiming to recover
		  conceptual design documents for large idiosyncratic
		  implementation structures. This fact is neglected in
		  current database reengineering methods and tools. In this
		  dissertation, we identify and extend a theory that provides
		  a suitable basis to deal with uncertain reengineering
		  knowledge and allows to implement practical tools and
		  environments to support reengineering processes. The
		  requirement for consistency management considers the fact
		  that it is unrealistic to presume that database
		  reengineering processes can be executed in a number of
		  sequential phases or steps without iterations. In practice,
		  larger reengineering projects comprise many process
		  iterations due to various reasons like incomplete knowledge
		  about legacy implementation structures or necessary
		  "on-the-fly" modifications of the legacy system. Detecting
		  and removing inconsistencies caused by such iterations
		  significantly increase costs and durations of current
		  reengineering projects. In this thesis, we employ graph
		  transformation theory to develop mechanisms which allow to
		  detect and eliminate inconsistencies between legacy schema
		  implementations and their abstract representation,
		  automatically. Our results have been implemented in the
		  database reengineering environment Varlet and evaluated
		  with an industrial project. They are suitable to complement
		  many existing approaches in the domain of information
		  system reengineering and migration. As an example, we
		  describe the integration of Varlet with an existing
		  middleware product for data integration.},
  class		= {Using_graphs Database_Migration Re-Design
		  Data_Reverse_Engineering Alteration
		  Software_Reverse_Engineering
		  Intermediate_Representations_of_Source_Code },
  url		= {http://www.csr.uvic.ca/~jens/Docs/thesis.pdf}
}

@InProceedings{	  petit.toumani.ea:towards,
  author	= {J-M. Petit and F. Toumani and J. Boulicaut and J.
		  Kouloumdjian},
  title		= {Towards the reverse engineering of denormalized relational
		  databases},
  booktitle	= {Proc. 12th International Conference on Data Engineering},
  publisher	= {S. Su},
  year		= {1996},
  editor	= {IEEE Computer Society},
  pages		= {218-227},
  address	= {New Orleans},
  month		= {Feb},
  class		= {Database_Migration Re-Design Alteration }
}