| # Mining Gerrit Data to Study Contentious Reviews and Community Evolution |
| |
| Software teams that use Gerrit are quickly accumulating data about their code |
| reviewing processes. The [Software REBELs](http://rebels.ece.mcgill.ca/)—a |
| research lab at McGill University—mine code review data to study topics like the |
| impact that code review practices have on software release and design quality. |
| Our more recent work mines code review data to study the reviewing process |
| itself. In this talk, I will describe the results of two empirical studies of |
| data that we collected from the Gerrit instances of the OpenStack project. The |
| first study aims to understand the reviews where reviewers disagree about a |
| patch. The second study follows how the concerns that reviewers raise evolve as |
| the OpenStack community ages and individual reviews accrue experience. |
| |
| *[Shane McIntosh, McGill University](../speakers.md#smcintosh)* |
