2017 IEEE 24th International Conference on Software Analysis, Evolution and Reengineering (SANER) (2017)
Feb. 20, 2017 to Feb. 24, 2017
Loup Meurice , PReCISE Research Center, University of Namur, Belgium
Anthony Cleve , PReCISE Research Center, University of Namur, Belgium
NoSQL data stores are becoming popular due to their schema-less nature. They offer a high level of flexibility, since they do not require to declare a global schema. Thus, the data model is maintained within the application source code. However, due to this flexibility, developers have to struggle with a growing data structure entropy and to manage legacy data. Moreover, support to schema evolution is lacking, which may lead to runtime errors or irretrievable data loss, if not properly handled. This paper presents an approach to support the evolution of a schema-less NoSQL data store by analyzing the application source code and its history. We motivate this approach on a subject system and explain how useful it is to understand the present database structure and facilitate future developments.
Java, Data structures, Entropy, Data mining, Urban areas
L. Meurice and A. Cleve, "Supporting schema evolution in schema-less NoSQL data stores," 2017 IEEE 24th International Conference on Software Analysis, Evolution and Reengineering (SANER), Klagenfurt, Austria, 2017, pp. 457-461.