Discovering Activities in Software Development Processes
Saimir Bala, Paul Kneringer, Jan Mendling · ePubWU Institutional Repository (Wirtschaftsuniversität Wien) · 2020
Software development processes are complex to monitor as they involve the coordination of manyresources working with different tools. This makes it hard to apply mining techniques for monitoringthe process. A key challenge for using traces of tools such as version control systems (VCS) is to findmeaningful abstractions in order to identify the work that was actually done. In this paper, we use datafrom VCS to analyze the actual progress of software-development processes. We develop a techniquethat is able to mine the activity types of which the development processes consists. We implementour technique as a prototype in Java and evaluate its outputs in terms of effectiveness. In this way, weare able to graphically uncover new behavioural patterns in real-world data from existing open-sourceGitHub repositories.