Università di Pisa
Sistema bibliotecario di ateneo

An Exploration of Learning Processes as Process Maps in FLOSS Repositories

Mukala, Patrick and Cerone, Antonio and Turini, Franco (2015) An Exploration of Learning Processes as Process Maps in FLOSS Repositories. Technical Report del Dipartimento di Informatica . Università di Pisa, Pisa, IT.

PDF - Published Version
Available under License Creative Commons Attribution No Derivatives.

Download (845Kb) | Preview


    Evidence suggests that Free/Libre Open Source Software (FLOSS) environ-ments provide unlimited learning opportunities. Community members engage in a number of activities both during their interaction with their peers and while mak-ing use of the tools available in these environments. A number of studies docu-ment the existence of learning processes in FLOSS through the analysis of sur-veys and questionnaires filled by FLOSS project participants. At the same time, the interest in understanding the dynamics of the FLOSS phenomenon, its popu-larity and success resulted in the development of tools and techniques for extract-ing and analyzing data from different FLOSS data sources. This new field is called Mining Software Repositories (MSR). In spite of these efforts, there is limited work aiming to provide empirical evidence of learning processes directly from FLOSS repositories. In this paper, we seek to trigger such an initiative by proposing an approach based on Process Mining to trace learning behaviors from FLOSS participants’ trails of activities, as recorded in FLOSS repositories, and visualize them as pro-cess maps. Process maps provide a pictorial representation of real behavior as it is recorded in FLOSS data. Our aim is to provide critical evidence that boosts the understanding of learning behavior in FLOSS communities by analyzing the rel-evant repositories. In order to accomplish this, we propose an effective approach that comprises first the mining of FLOSS repositories in order to generate Event logs, and then the generation of process maps, equipped with relevant statistical data interpreting and indicating the value of process discovery from these reposi-tories.

    Item Type: Book
    Uncontrolled Keywords: FLOSS learning processes, learning activities in Open Source, Min-ing Software Repositories, Process Mining, Process Mapping, and Semantic Search
    Subjects: Area01 - Scienze matematiche e informatiche > INF/01 - Informatica
    Divisions: Dipartimenti (from 2013) > DIPARTIMENTO DI INFORMATICA
    Depositing User: Prof. Franco Turini
    Date Deposited: 13 May 2015 13:06
    Last Modified: 13 May 2015 13:13
    URI: http://eprints.adm.unipi.it/id/eprint/2344

    Repository staff only actions

    View Item