This thesis will select and analyze four cross-platform frameworks to determine the best option for developing internal test applications at the author's company, Thermo Fisher Scientific. The analysis will evaluate the developer's experience, code complexity, performance (reload time, memory, and CPU usage), compatibility with the existing codebase, and time spent by developers.
Following the analysis, the thesis will discuss software engineering practices related to bug reporting, including best practices, methods, challenges, and tools. Then, Auto Bug Reporter, an application for automated bug reporting on R&D prototypes, will be designed and developed. The application will be able to collect data about the R&D prototypes, take input from the reporter (like issue description), and create an issue in the company Jira's repository.