The management of changing types in an object-oriented database
OOPLSA '86 Conference proceedings on Object-oriented programming systems, languages and applications
Principles of database and knowledge-base systems, Vol. I
Principles of database and knowledge-base systems, Vol. I
Schema transformation without database reorganization
ACM SIGMOD Record
Schema evolution in OODBs using class versioning
ACM SIGMOD Record
An architecture for automatic relational database sytem conversion
ACM Transactions on Database Systems (TODS)
A Transparent Schema-Evolution System Based on Object-Oriented View Technology
IEEE Transactions on Knowledge and Data Engineering
A View Mechanism for Object-Oriented Databases
EDBT '92 Proceedings of the 3rd International Conference on Extending Database Technology: Advances in Database Technology
Versions of Schema for Object-Oriented Databases
VLDB '88 Proceedings of the 14th International Conference on Very Large Data Bases
Schema Evolution in Heterogeneous Database Architectures, A Schema Transformation Approach
CAiSE '02 Proceedings of the 14th International Conference on Advanced Information Systems Engineering
Dynamic Schema Evolution Management Using Version in Temporal Object-Oriented Databases
DEXA '02 Proceedings of the 13th International Conference on Database and Expert Systems Applications
Type Evolution and Instance Adaptation
Type Evolution and Instance Adaptation
Graceful database schema evolution: the PRISM workbench
Proceedings of the VLDB Endowment
Automating database schema evolution in information system upgrades
Proceedings of the 2nd International Workshop on Hot Topics in Software Upgrades
Update rewriting and integrity constraint maintenance in a schema evolution support system: PRISM++
Proceedings of the VLDB Endowment
Efficient and scalable data evolution with column oriented databases
Proceedings of the 14th International Conference on Extending Database Technology
Automating the database schema evolution process
The VLDB Journal — The International Journal on Very Large Data Bases
An empirical analysis of the co-evolution of schema and code in database applications
Proceedings of the 2013 9th Joint Meeting on Foundations of Software Engineering
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The database schema is assumed to be stable enough to remain valid even as the modeled environment changes. However, in practice, data models are not nearly as stable as commonly assumed by the database designers. Even though a rich set of schema change operations is provided in current database systems, the users suffer from the problem that schema change usually impacts existing application programs that have been written against the schema. In this paper, we are exploring the possible solutions to overcome this problem of impacts on the application programs. We believe that for continued support of the existing programs on the old schema, the old schema should continue to allow updates and queries, as before. Furthermore, its associated data has to be kept up-to-date. We call this the program independency property of schema change tools. For this property, we devise so-called program independency schema evolution (PISE) methodology. For each of the set of schema change operations in the relational schemas, the overview of the additional code blocks due to the PISE compliance is presented in order to prove the comprehensiveness and soundness of our PISE methodology.