The cleanroom approach to quality software development
The cleanroom approach to quality software development
Intelligent database tools & applications
Intelligent database tools & applications
The specification, engineering, and measurement of information systems quality
Journal of Systems and Software
The notion of data and its quality dimensions
Information Processing and Management: an International Journal
Understanding Quality in Conceptual Modeling
IEEE Software
Quality dimensions of a conceptual view
Information Processing and Management: an International Journal
Anchoring data quality dimensions in ontological foundations
Communications of the ACM
Communications of the ACM
Software quality and the Capability Maturity Model
Communications of the ACM
Quantum improvements in software system quality
Communications of the ACM
A product perspective on total data quality management
Communications of the ACM
Data quality and systems theory
Communications of the ACM
Assessing data quality in accounting information systems
Communications of the ACM
The impact of poor data quality on the typical enterprise
Communications of the ACM
ISO 9000 for Software Developers
ISO 9000 for Software Developers
Information Service Excellence through TQM: Building Partnerships for Business Process Reengineering and Continuous Improvement
Principles of Data-Base Management
Principles of Data-Base Management
A Framework for Analysis of Data Quality Research
IEEE Transactions on Knowledge and Data Engineering
Data Quality Requirements Analysis and Modeling
Proceedings of the Ninth International Conference on Data Engineering
Beyond accuracy: what data quality means to data consumers
Journal of Management Information Systems
Data & Knowledge Engineering - Special issue: Quality in conceptual modeling
| Hi-index | 0.00 |
Databases are a critical element of virtually all conventional and ebusiness applications. How does an organization know if the information derived from the database is any good? To ensure a quality database application, should the emphasis during model development be on the application of quality assurance metrics (designing it right)? A large number of database applications fail or are unusable. A quality process does not necessarily lead to a usable database product. A database application can also be ‘well-formed’ with high data quality but lack semantic or cognitive fidelity (the right design). This paper expands on the growing body of literature in the area of data quality by proposing additions to a hierarchy of database quality dimensions that includes model and behavioral factors in addition to process and data factors.