In a global and increasingly competitive market, where organizations are driven by information, the search for ways to transform data into true knowledge is critical to a business's success. Few companies, however, have effective methods of managing the quality of this information. Because quality is a multidimensional concept, its management must consider a wide variety of issues related to information and data quality. Information and Database Quality is a compilation of works from research and industry that examines these issues, covering both the organizational and technical aspects of information and data quality. Information and Database Quality is an excellent reference for both researchers and professionals involved in any aspect of information and database research.Table 17. Class diagram-scope metrics for UML class diagram structural complexity (Genero et al., 2000e) Metric name Definition Nassoc The Number of Association metric is defined as the total number of associations within a class diagram.
|Title||:||Information and Database Quality|
|Author||:||Mario G. Piattini, Coral Calero, Marcela F. Genero|
|Publisher||:||Springer Science & Business Media - 2012-12-06|