Decision Point Analysis on Learning Process Models in FLOSS mailing Archives

Mukala, Patrick (2016) Decision Point Analysis on Learning Process Models in FLOSS mailing Archives. Technical Report del Dipartimento di Informatica, TR . Università di Pisa, Pisa, IT. (Submitted)

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Abstract

Abstract. Numerous studies continue to explore the potential of social interactions between people in Free/Libre Open Source Software (FLOSS) environments. While the dynamics of interactions in these environments can be understood from different perspectives, we put a particular focus on any interactions resulting in knowledge transfer and acquisition. As learning platforms, FLOSS communities provide immense opportunities for improving software engineering skills. People who engage in FLOSS activities both acquire and improve their software development skills. For this reason, it is very helpful to understand how these learning interactions occur. In this paper, we make use of the decision miner in process mining to conduct our analysis. The purpose of such an endeavour is twofold. Firstly, we provide empirical insights into how people learn while exchanging emails in FLOSS mailing archives. Lastly, we go a step further by providing insights behind the motivation into learning participants' decisions on their learning paths.

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• Decision Point Analysis on Learning Process Models in FLOSS mailing Archives. (deposited 26 Sep 2016 09:18)
  • Decision Point Analysis on Learning Process Models in FLOSS mailing Archives. (deposited 28 Feb 2017 15:07)[Currently Displayed]

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