Capital One Services, LLC

Shiv Somashekhar

Satish Kesiboyana

Pedro Betancourt

Gerardo Fang

Rajaboopathy Vijayaraghavan

Methods and systems for monitoring contributor performance for source code programming projects in order to increase the velocity of workflow and the efficiency of project teams. In particular, the methods and systems record the particular type of issue that is tagged for a given contribution, if any, and monitor the amount of programming time of the contributor that is required to resolve the issue. The programming time required to resolve the issue, the type of issue, and/or other characteristics of contributors are then used to generate real-time recommendations related to the performance of the contributor relative to the project team.

Methods and systems for monitoring contributor performance for source code programming projects

Methods and systems are also described for generating qualitative graphical representations of the standardized metrics. For example, in order to allow contributors to intuitively understand and compare the standardized metrics, the methods and systems convert the standardized metrics into graphical representations that allow for a qualitative comparison of contributors. This conversion includes the retrieval of the standardized metrics and the use of non-conventional techniques for filtering the metrics based on dynamic criteria to generate software development scores that may be used to compare different contributors.

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McLean, VA, United States of America

Shiv Somashekhar