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With the goal of facilitating team collaboration, we propose a new approachto building vector representations of individual developers by capturing theirindividual contribution style, or coding style. Such representations can finduse in the next generation of software development team collaboration tools,for example by enabling the tools to track knowledge transfer in teams. The keyidea of our approach is to avoid using explicitly defined metrics of codingstyle and instead build the representations through training a model forauthorship recognition and extracting the representations of individualdevelopers from the trained model. By empirically evaluating the output of ourapproach, we find that implicitly built individual representations reflect someproperties of team structure: developers who report learning from each otherare represented closer to each other.

Building Implicit Vector Representations of Individual Coding Style