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Scientific software development has increasingly adopted modern software engineering practices and tools, which collect a wealth of data. In this talk, we describe how we analyze some of this data to identify a number of development patterns in ECP and other scientific software as part of the DOE IDEAS project. For example, we use git commit history to identify domain champions, developers who have near-exclusive control over significant portions of a project's code over extended time periods.doi:10.6084/m9.figshare.14151794.v2 fatcat:eabajmj6t5fznetpjalas4k6k4