Most (70%) of software developers use Git as their Version Control System (VCS). With Git, developers also use services like GitHub, GitLab, Bitbucket, and Azure DevOps to help manage git repositories and team collaboration. Going one step further, some companies use services like WayDev, Gitential, GitLean, and PinPoint to track software developer performance.
Some developers find software development analytics KPIs and metrics controversial. But a good engineering manager will find the automated data provided over time indispensable. Obviously, the project requirements, size, scope, and complexity of software projects vary from one project to the next. This can make it difficult to compare a developer’s performance from one project to the next, or with another developer.
Even so, performance analytics can provide an enormous amount of insight on developer performance and project progress. They track a wide range of metrics related to:
- Speed (velocity, pushes per day)
- Quality (code churn, defect ratios)
- Efficiency (throughput, code efficiency)
- Collaboration (review coverage, responsiveness)
All of which can be used to define where improvements can be made. Some developers may be fearful that performance analytics will be used to punish them – which simply doesn’t factor into the equation. With such a high demand for software developers and IT specialists in general, companies want to help their developers improve their skills. It’s hard to improve what you can’t measure.
If you keep giving work to your best developers, eventually they’ll get overloaded and their efficiency will decrease. Some amount of code churn is inherent to every project, but it should decrease as the project gets closer to launch. If it fluctuates, it could mean that a developer hasn’t used a particular programming language very often, has perfectionist tendencies, or a variety of other root causes. Ultimately, for the long-term, software development analytics provides managers data they can use to optimize their team for any given software project or task. But it can also be used by managers to assign mentors, code review partners, and quantify improvements over time for new (and experienced) developers.