  Agile software teams are expected to follow a number of specific Team
Practices (TPs) during each iteration, such as estimating the effort ("points")
required to complete user stories and coordinating the management of the
codebase with the delivery of features. For software engineering instructors
trying to teach such TPs to student teams, manually auditing teams if teams are
following the TPs and improving over time is tedious, time-consuming and
error-prone. It is even more difficult when those TPs involve two or more
tools. For example, starting work on a feature in a project-management tool
such as Pivotal Tracker should usually be followed relatively quickly by the
creation of a feature branch on GitHub. Merging a feature branch on GitHub
should usually be followed relatively quickly by deploying the new feature to a
staging server for customer feedback. Few systems are designed specifically to
audit such TPs, and existing ones, as far as we know, are limited to a single
specific tool.
  We present Bluejay, an open-source extensible platform that uses the APIs of
multiple tools to collect raw data, synthesize it into TP measurements, and
present dashboards to audit the TPs. A key insight in Bluejay's design is that
TPs can be expressed in terminology similar to that used for modeling and
auditing Service Level Agreement (SLA) compliance. Bluejay therefore builds on
mature tools used in that ecosystem and adapts them for describing, auditing,
and reporting on TPs. Bluejay currently consumes data from five different
widely-used development tools, and can be customized by connecting it to any
service with a REST API. Video showcase available at
governify.io/showcase/bluejay
