Name
Abstract | ||
|---|---|---|
Database schema changes in system development cannot be avoidable. We need refactoring for the schema. Refactoring criteria for the schema, however, has not been clear and the refactoring depends on the skill of database designers. To solve the problems, we consider to finding out refactoring target columns and recommending them as refactoring targets by using clustering techniques with features of database schema and data in the table and implement it as a support tool. We describe the method and the support tool using the method. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1109/CANDAR.2016.0082 | 2016 Fourth International Symposium on Computing and Networking (CANDAR) |
Keywords | Field | DocType |
Database,Refacroting,Machine Learning | Programming language,Database refactoring,Computer science,Database schema,System development,Cluster analysis,Code refactoring,Schema (psychology) | Conference |
ISSN | ISBN | Citations |
2379-1888 | 978-1-5090-2656-2 | 0 |
PageRank | References | Authors |
0.34 | 2 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Kohei Hamaji | 1 | 0 | 0.34 |
| Yukikazu Nakamoto | 2 | 79 | 21.50 |