The entity-relationship model—toward a unified view of data
ACM Transactions on Database Systems (TODS) - Special issue: papers from the international conference on very large data bases: September 22–24, 1975, Framingham, MA
CONVERT: a high level translation definition language for data conversion
Communications of the ACM
Implementation of a structured English query language
Communications of the ACM
A relational model of data for large shared data banks
Communications of the ACM
On the semantics of the relational data model
SIGMOD '75 Proceedings of the 1975 ACM SIGMOD international conference on Management of data
An architecture for high-level language database extensions
SIGMOD '76 Proceedings of the 1976 ACM SIGMOD international conference on Management of data
An Introduction to Database Systems
An Introduction to Database Systems
Computer Database Organization, 2nd Ed
Computer Database Organization, 2nd Ed
Application Program Conversion due to Data Base Changes
Systems for Large Data Bases
SEQUEL: A structured English query language
SIGFIDET '74 Proceedings of the 1974 ACM SIGFIDET (now SIGMOD) workshop on Data description, access and control
ACM Transactions on Database Systems (TODS)
Decompiling CODASYL DML into retional queries
ACM Transactions on Database Systems (TODS)
Some DML instruction sequences for application program analysis and conversion
SIGMOD '78 Proceedings of the 1978 ACM SIGMOD international conference on management of data
Conversion technology, an assessment
ACM SIGMIS Database
Database program conversion: a framework for research
VLDB '79 Proceedings of the fifth international conference on Very Large Data Bases - Volume 5
AFIPS '82 Proceedings of the June 7-10, 1982, national computer conference
An overview of recent data base research
ACM SIGMIS Database
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This research studies the effects of 1) association changes in database semantics, 2) file composition and decomposition, and 3) the conversion of one DBMS to another to the application programs. A methodology of application program analysis and conversion based on database semantics is proposed. The semantics of both the source and target databases are described in terms of entity types and their associations. The semantics of application programs is represented by an "application structure" of language sequences which correspond to a number of access path graphs representing the general access patterns associated with entity types and their associations. Program conversion is achieved by meaning-preserving transformations of the access path graphs to account for the various types of database changes.