Search for dissertations about: "information quality definition"
Showing result 6 - 10 of 75 swedish dissertations containing the words information quality definition.
-
6. Perceived Quality in the Automotive Industry
Abstract : The supremacy of the automotive manufacturers in the modern world is no longer driven by them achieving a superior manufacturing quality but increasingly depends on the customer’s quality perception. The premium sector of the automotive industry is facing tough international competition. READ MORE
-
7. Information Management for Manufacturing System Development
Abstract : In the development of products the actual product design isnot an isolated occurrence solely providing the definitionalinformation needed to realise information into physicalproducts. There is also a need to develop and design themanufacturing process and manufacturing system that is to beused in the transformation of information into a physicalproduct. READ MORE
-
8. On the Incorporation of Quality of Experience (QoE) in Mobile Networks : A technical, regulatory and business analysis
Abstract : Mobile operators face a scenario characterised by new challenges such as growing data consumption, a slowdown in subscriber growth and reduced revenues due to the success of OTT providers. To remain competitive, mobile operators must offer affordable services and think on strategies to retain current customers. READ MORE
-
9. Validation of a Standard- and Metric-Based Software Quality Model
Abstract : The automatic assessment of software quality using standard- and metric-based Software Quality Models has numerous advantages. For example, it is less error-prone, less time consuming, and neutral to human judgments compared to manual approaches. Yet, to rely on the results, the Software Quality Models need to be validated, i.e. READ MORE
-
10. Understanding and Managing Non-functional Requirements for Machine Learning Systems
Abstract : Background: Machine Learning (ML) systems learn using big data and solve a wide range of prediction and decision making problems that would be difficult to solve with traditional systems. However, increasing use of ML in complex and safety-critical systems has raised concerns about quality requirements, which are defined as Non-Functional requirements (NFRs). READ MORE