Supporting schema evolution in schema-less NoSQL data stores

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Résumé

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.

langue originaleAnglais
titreSANER 2017 - 24th IEEE International Conference on Software Analysis, Evolution, and Reengineering
EditeurInstitute of Electrical and Electronics Engineers Inc.
Pages457-461
Nombre de pages5
ISBN (Electronique)9781509055012
Les DOIs
Etat de la publicationPublié - 21 mars 2017
Evénement24th IEEE International Conference on Software Analysis, Evolution, and Reengineering, SANER 2017 - Klagenfurt, Autriche
Durée: 21 févr. 201724 févr. 2017

Une conférence

Une conférence24th IEEE International Conference on Software Analysis, Evolution, and Reengineering, SANER 2017
PaysAutriche
La villeKlagenfurt
période21/02/1724/02/17

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  • Thèses de l'étudiant

    Analyzing, Understanding and Supporting the Evolution of Dynamic and Heterogeneous Data-Intensive Software Systems

    Author: Meurice, L., 22 juin 2017

    Superviseur: Cleve, A. (Promoteur), Englebert, V. (Président), Lanza, M. (Personne externe) (Jury), Mens, T. (Personne externe) (Jury), Frenay, B. (Jury) & Vanhoof, W. (Jury)

    Thèse de l'étudiant: Doc typesDocteur en Sciences

    Fichier

    Contient cette citation

    Meurice, L., & Cleve, A. (2017). Supporting schema evolution in schema-less NoSQL data stores. Dans SANER 2017 - 24th IEEE International Conference on Software Analysis, Evolution, and Reengineering (p. 457-461). [7884653] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SANER.2017.7884653