Cách tiếp cận này là để thực hiện kiểm tra các sản phẩm đã hoàn thành, hãy tìm cho các khuyết tật, và chính xác. • Quy trình chất lượng tập trung vào các đặc điểm của quá trình được sử dụng để xây dựng sản phẩm. Trọng tâm của quá trình chất lượng nằm về phòng, chống khuyết tật chứ không phải là phát hiện | Database Quality 487 Product quality focuses on the characteristics of the product itself. The approach is to carry out inspections of the finished product look for defects and correct them. Process quality focuses on the characteristics of the process used to build the product. The focus of process quality lies on defect prevention rather than detection and aims to reduce reliance on mass inspections as a way of achieving quality 8 . In the context of DBs product quality relates to characteristics of the data model and the data itself the product while process quality relates to how data models are developed and how the data are collected and loaded the process . This chapter focuses on product quality. We refer to information quality in a wide sense as comprising DB system quality and data presentation quality see Figure . In fact it is important that data in the DB correctly reflect the real world that is the data are accurate. It is also important for the data to be easy to understand. In DB system quality three different aspects could be considered DBMS quality data model quality both conceptual and logical and data quality. This chapter deals with data model quality and data quality. To assess DBMS quality we can use an international standard like IS 9126 9 or some of the existing product comparative studies . 10 for ODBMS evaluation . Unfortunately until a few years ago quality issues focused on software quality 3 9 11-14 disregarding DB quality 15 . Even in traditional DB Figure Information and DB quality. 488 Advanced Database Technology and Design design quality-related aspects have not been explicitly incorporated 16 . Although DB research and practice have not been focused traditionally on quality-related subjects many of the developed tools and techniques integrity constraints normalization theory transaction management have influenced data quality. It is time to consider information quality as a main goal to achieve instead of a .
