An empirical analysis of the co-evolution of schema and code in database applications
Dong Qiu, Bixin Li, Zhendong Su
Abstract
Dong Qiu, Bixin Li, Zhendong Su
Abstract
Modern database applications are among the most widely used and complex software systems. They constantly evolve, responding to changes to data, database schemas, and code. It is challenging to manage these changes and ensure that everything co-evolves consistently. For example, when a database schema is modified, all the code that interacts with the database must be changed accordingly. Although database evolution and software evolution have been extensively studied in isolation, the co-evolution of schema and code has largely been unexplored.
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Modern database applications are among the most widely used and complex software systems. They constantly evolve, responding to changes to data, database schemas, and code. It is challenging to manage these changes and ensure that everything co-evolves consistently. For example, when a database schema is modified, all the code that interacts with the database must be changed accordingly. Although database evolution and software evolution have been extensively studied in isolation, the co-evolution of schema and code has largely been unexplored.
Key concepts: Computer science, Database schema, Schema evolution, Schema migration, Database, Schema (genetic algorithms), Database design, Semi-structured model