Traceability of Telemetry Data in Hybrid Architectures
|Termin||Fr 29. Januar 2021|
|Kurzfassung||With the rise of Software-as-a-Service products, the software development landscape transformed to a more agile and data-driven environment. The amount of telemetry data, collected from the users actions, is rapidly increasing and with it the possibilities but also the challenges of using the collected data for quality improvement purposes.
LogMeIn Inc. is a global company offering Software-as-a-Service solutions for remote collaboration and IT management. An example product is GoToMeeting which allows to create and join virtual meeting rooms.
This Master’s Thesis presents the JoinTracer approach which enables the telemetry-data-based traceability of GoToMeeting join-flows of the GoToMeeting architecture. The approach combines new mechanics and already existing traceability techniques from different traceability communities to leverage synergies and to enable the traceability of individual join-flows. In this work, the JoinTracer approach is designed and implemented as well as evaluated regarding the functionality, performance and acceptance. The results are discussed to analyze the future development and the applicability of this approach to other contexts as well.