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Finding self-organized criticality in collaborative work via repository mining (IWANN’2017)

Teamwork in software repositories as a complex system. First of a series of papers on that topic, researching the nature of techno-social systems.

GeNeura Team

Captura de pantalla 2017-06-16 a la(s) 09.58.27

I would like to spot your attention to three points:

  • Development teams eventually become complex systems, mainly in collaborative work environments.
  • Relations and collaborations take place through the environment.
  • Pattern mining and analysing social-based information is a complex problem.

Thus, our main objective was studying new methodologies to analyse patterns of collaboration in collaborative work environments, as it is a complex problem that needs new tools to explore and analyse data related to relations-based information.

Also, we wanted to explore and analyse relations-based data, e.g. to answer the question “Do developers self-organize?”, and finally, to contribute to open science tools and methodologies.

In Statistical Physics, criticality is defined as a type of behaviour observed when a system undergoes a phase transition. A state on the edge between two different types of behaviour is called the critical state, and in this state the system is at criticality.

A clear example is…

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