Abstract:
Software developers can gain software development experience through the medium provided by
the social coding platforms. The contribution to source code will demonstrate the experience and
talents of the particular developer on various filed of software development. To showcase a
developer’s knowledge and abilities, developer expertise has to be calculated through the
aggregate development activity of each developer, and this developer expertise also known to be
as Implementation expertise. Here we analyze the contribution developer in the projects and we
identify the average push count to analyze the expertise level and the active time of the developer
will be also taken from the open-source platform for the process. In this research, GitHub is used
as an open-source platform.
The Developer Recommender System implemented to identify the most appropriate developer to
accomplish the task, this recommender system provides recommending service within the
corporate companies only. An important technique that was used in this system is the cosine
similarity, through the cosine similarity the fetched task title analyzed with the completed task
titles to provide the cosine similarity, through the collected attributes the suitable developer can
be recommended. Through this, the project manager could identify the correct developer for the
tasks that need to complete.
