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Evidence suggests that Free/Libre Open Source Software (FLOSS) environmentsprovide unlimited learning opportunities. Community members engage in a numberof activities both during their interaction with their peers and while makinguse of the tools available in these environments. A number of studies documentthe existence of learning processes in FLOSS through the analysis of surveysand questionnaires filled by FLOSS project participants. At the same time, theinterest in understanding the dynamics of the FLOSS phenomenon, its popularityand success resulted in the development of tools and techniques for extractingand analyzing data from different FLOSS data sources. This new field is calledMining Software Repositories (MSR). In spite of these efforts, there is limitedwork aiming to provide empirical evidence of learning processes directly fromFLOSS repositories. In this paper, we seek to trigger such an initiative byproposing an approach based on Process Mining to trace learning behaviors fromFLOSS participants trails of activities, as recorded in FLOSS repositories, andvisualize them as process maps. Process maps provide a pictorial representationof real behavior as it is recorded in FLOSS data. Our aim is to providecritical evidence that boosts the understanding of learning behavior in FLOSScommunities by analyzing the relevant repositories. In order to accomplishthis, we propose an effective approach that comprises first the mining of FLOSSrepositories in order to generate Event logs, and then the generation ofprocess maps, equipped with relevant statistical data interpreting andindicating the value of process discovery from these repos-itories

An Exploration of Learning Processes as Process Maps in FLOSS Repositories