Mining Software Process Lines

There is a vast growth of generated event data being collected and stored by organizations. Within the field of Process Mining, this data has been used to discover, analyze and enhance processes from different domains. For this purpose there are hundreds of techniques available in different tools. These techniques are mostly focused on single processes. On the other hand, there are several proposals for dealing with multiple processes. Under different names, such as: configurable process models, process families or process lines, processes are characterized by capturing commonalities and variability between (similar) process models. These approaches have shown to be useful for organizations that have multiple variants of a given process, e.g., reducing redundancy and maintenance time. In this thesis proposal we plan to develop a framework that allows to use Process Mining in families of processes within the software development domain (i.e., Software Process Lines).