Building the Data Warehouse,3rd Edition
Building the Data Warehouse,3rd Edition
A Method for Demand-Driven Information Requirements Analysis in Data Warehousing Projects
HICSS '03 Proceedings of the 36th Annual Hawaii International Conference on System Sciences (HICSS'03) - Track 8 - Volume 8
Towards Modeling and Reasoning Support for Early-Phase Requirements Engineering
RE '97 Proceedings of the 3rd IEEE International Symposium on Requirements Engineering
Modelling strategic relationships for process reengineering
Modelling strategic relationships for process reengineering
DWARF: AN Approach for Requirements Definition and Management of Data Warehouse Systems
RE '03 Proceedings of the 11th IEEE International Conference on Requirements Engineering
Goal-Oriented Requirements Enginering: A Roundtrip from Research to Practice
RE '04 Proceedings of the Requirements Engineering Conference, 12th IEEE International
Goal-oriented requirement analysis for data warehouse design
Proceedings of the 8th ACM international workshop on Data warehousing and OLAP
Seven key interventions for data warehouse success
Communications of the ACM - Personal information management
Research in data warehouse modeling and design: dead or alive?
DOLAP '06 Proceedings of the 9th ACM international workshop on Data warehousing and OLAP
Business Metadata for the DataWarehouse
EDOCW '06 Proceedings of the 10th IEEE on International Enterprise Distributed Object Computing Conference Workshops
A UML profile for multidimensional modeling in data warehouses
Data & Knowledge Engineering - Special issue: ER 2003
An MDA approach for the development of data warehouses
Decision Support Systems
Multidimensional design by examples
DaWaK'06 Proceedings of the 8th international conference on Data Warehousing and Knowledge Discovery
Building a secure star schema in data warehouses by an extension of the relational package from CWM
Computer Standards & Interfaces
A UML Profile for Modelling Measurable Requirements
ER '08 Proceedings of the ER 2008 Workshops (CMLSA, ECDM, FP-UML, M2AS, RIGiM, SeCoGIS, WISM) on Advances in Conceptual Modeling: Challenges and Opportunities
Editorial: Model-Driven Development for secure information systems
Information and Software Technology
An engineering process for developing Secure Data Warehouses
Information and Software Technology
A UML 2.0 profile to define security requirements for Data Warehouses
Computer Standards & Interfaces
Requirements gathering in a model-based approach for the design of multi-similarity systems
Proceedings of the first international workshop on Model driven service engineering and data quality and security
Extending OCL for OLAP querying on conceptual multidimensional models of data warehouses
Information Sciences: an International Journal
A Knowledge-Based and Model-Driven Requirements Engineering Approach to Conceptual Satellite Design
ER '09 Proceedings of the 28th International Conference on Conceptual Modeling
RAMEPs: a goal-ontology approach to analyse the requirements for data warehouse systems
WSEAS Transactions on Information Science and Applications
Information and Software Technology
Elaborating analysis models with tool support
INTERACT'11 Proceedings of the 13th IFIP TC 13 international conference on Human-computer interaction - Volume Part IV
RETRACTED: Model-driven development of OLAP metadata for relational data warehouses
Computer Standards & Interfaces
Journal of Database Management
Adding semantic modules to improve goal-oriented analysis of data warehouses using I-star
Journal of Systems and Software
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The development of a data warehouse has been traditionally guided by an in-depth analysis of the underlying operational data sources, thus overlooking an explicit development phase in which information requirements of decision makers are addressed. This scenario has prompted that the deployed data warehouse often fails in delivering the expected support of the decision making process. To overcome this problem, we propose to use the i* modeling framework and the model driven architecture (MDA) in order to describe (i) how to model goals and information requirements for data warehouses, and (ii) how to derive a conceptual multidimensional model that provides the required information to support the decision making process.