We study how software engineers design and evolve their domain model when building
applications against NoSQL data stores. Specifically, we target Java projects that use object …

Recent position papers demand more schema flexibility, such as the ability to handle
variational data [3, 42]. Many agile software developers have long since turned towards …

During the development of NoSQL-backed software, the database schema evolves
alongside the application code. Especially in agile development, new application releases …

Nowadays, data-intensive applications tend to access their underlying database in an
increasingly dynamic way. The queries that they send to the database server are usually …

Changing a database schema is a fact of life in information systems, as a response to
changes inside the enterprise (eg, new users' requirements, correction of errors in the …

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 …

The variety of data is one of the most challenging issues for research and practice in data
management. The so-called multi-model data are naturally organized in different and …

There is a new generation of databases specifically addressing Big Data Variety: Multi-
model databases store and process structurally heterogeneous data, managing several data …

Database schemas evolve over time to satisfy changing application requirements. If this
evolution is not performed correctly, some quality attributes are at risk such as data integrity …

JSchema is a framework for the management of temporal documents stored in JSON format
in a NoSQL database, similar to the τXSchema framework proposed for XML. In this work …