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Communication Dans Un Congrès Année : 2018

Towards quality analysis for document oriented bases

Résumé

Document-oriented bases allow high flexibility in data representation which facilitates a rapid development of applications and enables many possibilities for data structuring. Nevertheless, the structural choices remain crucial because of their impact on several aspects of the document base and application quality, e.g, memory print, data redundancy, readability and maintainability. Our research is motivated by quality issues of document-oriented bases. We aim at facilitating the study of the possibilities of data structuring and providing objective metrics to better reveal the advantages and disadvantages of each solution with respect to user needs. In this paper, we propose a set of structural metrics for a JSON compatible schema abstraction. These metrics reflect the complexity of the structure and are intended to be used in decision criteria for schema analysis and design process. This work capitalizes on experiences with MongoDB, XML and software complexity metrics. The paper presents the definition of the metrics together with a validation scenario where we discuss how to use the results in a schema recommendation perspective.
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Dates et versions

hal-01908112 , version 1 (29-10-2018)

Identifiants

  • HAL Id : hal-01908112 , version 1

Citer

Paola Gómez, Claudia Roncancio, Rubby Casallas. Towards quality analysis for document oriented bases. International Conference on Conceptual Modeling (ER), Oct 2018, Xi'an, China. ⟨hal-01908112⟩
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