Software architecture captures early design decisions, which have a major impact on the quality of the developed software. Thus, we can understand the ability of an architecture with its quality attributes by finding the decisions and reasoning about them in the early life cycle. This paper presents an approach helping us to perform successfully the works for architecture evaluation. In our app...

The user view of the quality of IT-supported health care processes is very important for a successful performance of these processes. Current approaches to process quality do not capture this point of view explicitly. This position paper provides a first collection of indicators for this view. Classification: Process quality, Workflow management, Process optimization, Compliance, Process modell...

Quality of life can be defined both from an objective approach (using macroeconomic indicators) and from a subjective one (referring to the individual’s level of satisfaction), therefore the methods of research needed in both cases are very divers ified. The paper starts with the presentation of the marketing research methods from the theoretical point of view, emphasizing their special feature...

A data warehouse is a database focused on decision making. It is built separately from the transactional (OLTP) databases of the enterprise, although it is partly fed from transactional data. Data warehouses are typically accessed by decision makers using OLAP tools, based on a specific, multidimensional representation of data. Considering the strategic importance of data warehouses, the qualit...

b a ckground:   eco-faunistic  studies  are  inevitable  step  in  environmental  researches.  aquatic  organisms  like caddisflies are known as biological indicators for water quality assessment and water resource management. they have special role for energy flow in the freshwater habitats as food web and food chain among aquatic creatures. methods: in addition to an extensive literature revi...

We propose an algorithm that improves the quality of intermediate-view images obtained by mapping the average color of multiple-view images onto a visual hull. The algorithm estimates a real image from an intermediate-view image using example-based super-resolution. Estimation is performed using relationships between two kinds of training images: an ideal image whose quality is as good as a rea...