Quality of data warehouse is very crucial for managerial strategic decisions.
Multidimensional data modeling has been accepted as a basis for data warehouse, thus …

Investigating and improving the quality of conceptual models has gained tremendous
importance in the past years. In general, model understandability is regarded one of the …

Quantum computing is the basis of a new revolution. Several quantum computers are
already available and, with them, quantum programming languages, quantum software …

The design of data warehouses (DWs) is based on both their data sources and users'
requirements. The more closely the DW multidimensional schema reflects the stakeholders' …

The success rate of data warehouse (DW) development is improved by performing a
requirements elicitation stage in which the users' needs are modeled. Currently, among the …

Context Testing is an essential part of the development life-cycle of any software product.
While most phases of data warehouse design have received considerable attention in the …

In the context of Industry 4.0, the analysis of Internet-of-Things (IoT) data with business
intelligence (BI) technologies has acquired high relevance. However, designing and …

This study proposes a framework for the evaluation and validation of software complexity
measure. This framework is designed to analyse whether or not software metric qualifies as …

CONTEXT: Data warehouse conceptual design is based on the metaphor of the cube, which
can be derived from either requirement-driven or data-driven methodologies. Each …

Testing is an essential part of the design life-cycle of any software product. Nevertheless,
while most phases of data warehouse design have received considerable attention in the …