A Model-to-Model Transformation of a Generic Relational Database Schema into a Form Type Data Model

Ristić, Sonja; Kordić, Slavica; Čeliković, Milan; Dimitrieski, Vladimir; Luković, Ivan

doi:10.15439/2016f408

Cited by 4 publications

(2 citation statements)

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“…These transformations are applied between physical database schema and generic relational schema. A similar model-to-model transformation approach is followed in [22] for automatically achieving a form type data model again from a generic database schema. Hence, the form type specification represents a platform independent prescription model of both future screens and report forms which can be generated later for a complete application.…”

Section: Related Workmentioning

confidence: 99%

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Model-driven Query Generation for Elasticsearch

Akdal

Keskin

Ekinci

et al. 2018

Annals of Computer Science and Information Systems

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Elasticsearch is a distributed RESTful search engine, capable of solving growing number of use cases and can handle petabytes of data in seconds. However, Elasticsearch comes with a complex query language which causes a steep learning curve for the developers and, therefore, creation of queries can be difficult and time-consuming in many cases. Hence, in this paper, we introduce a Domain-specific Modeling Language (DSML), called Dimension Query Language (DQL), to support the model-driven development of Elasticsearch queries. Elasticsearch queries can be automatically generated from DQL models and DQL's IDE is capable of executing these auto-generated Elasticsearch queries on remote repositories. An evaluation of using DQL has been performed at the industrial level with the participation of a group of developers. The conducted evaluation showed that the use of the language significantly decreases the development time required for creating Elasticsearch queries. Finally, qualitative assessment, based on the developers' feedback, exposed how DQL facilitates the development of Elasticsearch queries. I.

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Section: Related Workmentioning

confidence: 99%

“…Although many efforts exist in model-driven database processing and query generation (e.g. [20][21][22][23]), they do not consider the specifications of Elasticsearch and do not support generating queries, structured according to Elasticsearch which differs from the traditional databases.…”

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confidence: 99%