Applied Research in System Analysis (ARiSA) is a company specialized in the development of the customer-specific quality models and applied research work. In order to improve the quality of the projects and to reduce maintenance costs, ARiSA developed Quality Monitor (QM) – a web application for quality analysis. QM application has been originally developed as a basic program to enable customers to evaluate the quality of the sources. Therefore, the business logic of the application was simplified and certain limitations were imposed on it, which in its turn leads to a number of issues related to user experience, performance and architecture design. These aspects are important for both application as a product, and for its future promotion. Moreover, this is important for customers, as end users. Main application issues, which were added to the maintenance list are: manual data upload, insufficient server resources to handle long-running and resource consuming operations, no background processing and status reporting, simplistic presentation of analysis results and known usability issues, weak integration between analysis back-ends and front-end. ­­­­­­­­­­­In order to address known issues and to make improvements of the existing limitations, a maintenance phase of QM application is initiated. First of all, it is intended to stabilize current version and improve user experience. It also needed for refactoring and implementation of more efficient data uploads processing in the background. In addition, extended functionality of QM would fulfill customer needs and transform application from the project into a product. Extended functionality includes: automated data upload from different build processes, new data visualizations, and improvement of the current functionality according to customer comments. Maintenance phase of QM application has been successfully completed and master thesis goals are met. Current version is more stable and more responsive from user experience perspective. Data processing is more efficient, and now it is implemented as background analysis with automatic data import. User interface has been updated with visualizations for client-side interaction and progress reporting. The solution has been evaluated and tested in close cooperation with QM application customers. This thesis describes requirements analysis, technology stack with choice rationale and implementation to show maintenance results.

This master's degree thesis focuses on the issues of visualization formerly preprocessed business and technical metadata in a business environment. Within the process of elabora-tion and usage of the collected data in the company, it is necessary to present the data to the users in a comfortable, comprehensible and clear way. The first goal of this thesis is to describe and to specify the term of metadata in the field of theory and on the level of busi-ness, their main structure, their occurrence in a non-visual manner and related places where we can find metadata in the heterogeneous business environment. This part also includes a short introduction to the usage of metadata that is related and originates from business in-telligence and a description of Company encyclopedia that can syndicate these resources for further utilization. When defined, the sources, destinations and purpose of technical and business metadata can be used in the second part of the thesis -- this part is aimed at model-ing the use cases for the visual component that can be applied to business and technical metadata. Use cases will be focused on the roles of the users that will use this component and to discover the primary demands and requirements of these users and the functionality that will be indispensable. After the use cases are defined we can process to the next stage of visual component development -- the data must be visualized itself and we have to find proper means to achieve this with user experience being the main focus. Then we have to encapsulate the visualization with a graphical user interface that will meet the requirements and demands of the users' roles specified by the use cases section by prototyping. Lastly, the results of the previous chapters are used to prototype the visual component suitable for a web environment which is based on principles of reusability, data-driven approach, and uses modern web technologies such as framework and library D3.js, HTML5, CSS3, and SVG.

The aim of the master thesis is to describe Apache Spark framework , its structure and the way how Spark works . Next goal is to present topic of Model- Driven Development and Model-Drive Architecture . Define their advantages , disadvantages and way of usage . However , the main part of this text is devoted to design a model for creating tasks in Apache Spark framework . Text desribes application , that allows user to create graph based on proposed modeling language . Final application allows user to generate source code from created model.