A suite of Process Metrics to Capture the Effort of Developers

Software repositories are a valuable support for large teams working together on a project. Besides the code, a repository includes useful data related to development practices. This paper proposes novel metrics applied to data extracted from repositories and related to the development. Complete automation has been achieved for extracting data from repositories and for computing metrics, as well as representing them. This has been performed by using available tools, such as PyDriller, and our own developed components. The value of the proposed metrics is to reveal the effort of developers and their practices, in order to highlight strengths and weaknesses, then suggest improvements.