Implementering av diagnostiskt verktyg i en webbapplikation : Hur kan ett verktyg för att analysera diagnostiska data för felsökning byggas i en React webbapplikation?

Sammanfattning: Sweden produced 215 kilotons of electronic waste in 2016. One way to reduce this amount is to repair electronic devices when they fail instead of replacing them. The company Mavenoid has a troubleshooting service in the form a web application to help troubleshoot machines like for example consumer electronics. The company desired a tool to visualize data about the usage of the troubleshooting models in their web app. The prospect was that the users who build the troubleshooting models would be able to analyse how their models are being used and how well they work with the tool. To implement the tool, a method with three phases was used. An initial preparation phase with requirements elicitation via a domain analysis and set-up of the development environment, a development phase with iterative development and requirements management with weekly meetings and an analysis phase with evaluation of the tool according to the requirements and the status of a pull request. The product met eight out of ten requirements and was of a sufficiently high quality that it could be integrated into the company’s system. The use of the library C3 resulted in a 21% increase of the web application’s build size.