Social code analysis enriches our understanding of the code quality by overlaying a developer's behavior with the structural analysis of the code. It uses data from version control systems, such as frequency and time of the change as well as the person making the change. You can choose to write your own scripts to analyze such data or use tools such as CodeScene. CodeScene can help you gain a better understanding of your software systems by identifying hotspots and complex, hard-to-maintain subsystems, coupling between distributed subsystems through temporal coupling, as well as the view of Conway's law in your organization. We believe that with technology trends such as distributed systems, microservices and distributed teams the social dimension of our code is vital in our holistic understanding of our systems' health.
