There is a need of storing and keeping track of things. As the amount of information increases, so does the demand for suitable applications that can manage the data. This thesis has had its focus on developing a web administration interface for relational databases, where the focus has been on managing and visualizing the data, where relationships between data within the database could be predicted through an algorithm. During the thesis, it was revealed that administrators can utilize naming conventions for databases, a property which can be used to predict its relationships. Furthermore, existing applications for managing databases has been compared with the thesis' implementation. Notable differences are that existing solutions are focused towards the structure of the data, rather than the data itself. To accomplish all this, an agile method was chosen for fast results within the deadline, together with standardized web development tools and JavaScript frameworks. The resulting implementation consists of a front- and backend. The frontend was developed using the Ember.JS framework for making web applications and the backend was implemented using Node.JS, together with a component for handling different database dialects called Sequelize. It has been concluded that the prototype this thesis has resulted in works as a proof of concept, complete with a prediction algorithm that can suggest relationships within databases that utilizes convenient and consistent naming conventions. In the future, further research and tests could be conducted to evaluate the security, reliability and usability of the application, to ensure its production quality.

Issue tracking is one of the vital parts in maintaining computer  systems.  It is utilized in anything from small independent companies to large enterprises. The tracking does not just provide developers and other personnel with crucial information regarding their systems current state, but additionally stores useful documentation if any error reoccurs in the future. However, if the tracking issue would be deficient in some way, the complete process of developing or maintaining a system could affected negatively in great extent. This thesis work has looked into a scenario where the tool has been to slow, overly complicated and obsolete. It has made a large negative impact on the work force that uses the tool and made tracking issue to a discouragement. The thesis work has thence investigated features of the existing tool, suggested a better solution to use based upon these findings, followed by the development of a web application. When the application was finished, its usability was tested by the intended staff and performance tests were conducted. The test results showed that the application had been implemented successfully in many aspects. Unfortunately, due to deficient technical choices, the project did struggle with implementing all features as expected. The thesis work did consequently learn the hard way the importance of a choosing development techniques very thoroughly.

This research compares the performance of three TypeScript Object-Relational Mapping (ORM) libraries, MikroORM, Prisma, and Sequelize, selected based on a set of software quality attributes. A REST-API was implemented with uniform functionality for each library. A total of 24 endpoints, with functionality representing base SQL queries, were tested for comparison of response time, throughput, and memory usage. Results show that no library is superior in all performance metrics, suggesting ORM selection should align with specific project needs. Generalizability was ensured through varied query complexities and iterations. Future research could expand on this study by testing in diverse environments, testing against baseline query performance, and introducing randomness via true experiments.