Tag: Engineering Thesis

Abstract: Microservice-based systems consist of loosely coupled, independent distributedservices, communicating over the network. The integration of the frontend in microservices is a central problem. In contrast to the back end services, one independent service is often used for the front end of a...

Abstract: Web applications can have a high level of functionality and complexity, making them difficult for users to use intuitively. Users can then resort to instructions or tutorials in order to learn how to use the application correctly. Tutorials that not only impart knowledge but also explain ...

Abstract: The JValue Open Data Service (ODS) is an ETL data pipeline that provides data extraction from different source systems (Extract), performs transformations on the extracted data (Transform), and loads the data to a target database (Load). There are different kinds of stream processing engi...

Abstract: With modern applications growing in complexity, an increasing reliance on third party components can be observed across the industry. Such reuse of Free/Libre Open Source Software (FLOSS) or Commercial off-the-shelf (COTS) artifacts can help reduce time to market and enable faster release...

Abstract: Keywords are fragments of the core content of a text and can be used to cluster documents, visualize information or enrich metadata. The extraction process is a well-researched topic in the information retrieval community and existing solutions work well, although they are usually not des...

Abstract: The web app QDAcity supports the process of qualitative data analysis (QDA). Among other things QDAcity can aid users during the coding process. A unique feature of QDAcity is that the user can classify codes of their code system using a meta model. The meta model helps in structuring the...

Abstract: Many modern software applications and research projects depend on the ability to access high-qualitative data sources. Even though there is already a large number of openly available data sets, such data sets are often hard to (re)use due to various barriers such as incomplete documentati...

Abstract: Open data has been known for having data quality issues that require complex data cleansing and data transformation in order to be usable for data analysis, data visualization, training machine learning algorithms, and other data science activities. Open Data Service (ODS) is a software p...

Abstract: Collaborative software allows people to work together to achieve a common goal. However, users might be distracted from their goals when such an application evolves with more functionalities. Moreover, when multiple users collaborate in the same session, the action of one user might confu...

Abstract: In qualitative research, Intercoder Agreement (ICA) represents the extent to which two or more researchers share the interpretation of the data. The ICA assessment adds investigator triangulation to a project and helps researchers validate their findings. QDAcity is a cloud-based applicat...