Measuring your software delivery pipeline effectively
Engineering Metrics
Oct 11, 2023
In today's fast-paced digital landscape, the efficiency of the software delivery pipeline is paramount. It's not just about writing and deploying code; it's about understanding the intricate processes and metrics that drive software engineering. For engineering teams to truly shine, they need a comprehensive grasp of their software delivery pipeline, encompassing both the 'how' - the stages like coding time, pickup time, and review time, and the 'what' - outcomes such as the investment profile. Let's delve deeper into these metrics and understand how they can revolutionize your engineering productivity.
Decoding the 'How'
Coding Time: This is the heartbeat of software development. It measures the time developers invest in crafting their code. By optimizing coding time, engineering teams can ensure a streamlined development process, reducing cycle time and enhancing software engineering productivity.
Pickup Time: After the code is penned down, the clock starts ticking. How swiftly is it picked up for review? Delays here can introduce CI bottlenecks, slowing down the entire engineering process and affecting the lead time.
Review Time: The essence of quality assurance. Monitoring the time taken for code review can shed light on team collaboration, bottlenecks in the review process, and overall code quality.
Understanding the 'What'
Investment Profile: This is the compass for your engineering team. It shows where efforts are channeled - new features, refactoring, or perhaps addressing technical debt. Grasping the investment profile aids stakeholders in decision-making and resource allocation.
Engineering Projects: These are the milestones. By keeping an eye on ongoing engineering projects, engineering leaders can ensure alignment with broader business goals and stakeholder expectations.
Code Quality Metrics: Beyond functionality, how robust is the code? Delving into metrics like lines of code, pull requests, and feedback from code review can offer invaluable insights.
The Power of Dashboards
In our data-centric world, dashboards are the lighthouses. They illuminate the software delivery pipeline, offering a visual narrative from coding to deployment. With dashboards, engineering leaders can pinpoint bottlenecks, streamline workflows, and champion continuous improvement.
Engineering Metrics: The Backbone
Metrics are the lifeblood of any engineering organization. They offer a tangible measure of processes like cycle time, lead time, and the overall engineering productivity. Granular metrics such as benchmarks, story points, and KPIs provide a detailed view, enabling engineering leaders to make informed, data-driven decisions.
Beyond Numbers: The Human Element
Metrics are pivotal, but they're just one piece of the puzzle. The morale of team members, the collaboration within development teams, and feedback from stakeholders play an equally vital role. It's essential to balance quantitative data with qualitative insights, ensuring a holistic view of engineering productivity.
Leveraging BuildPulse for Enhanced Insights
To elevate your software delivery pipeline measurement, you need potent tools. BuildPulse Engineering Metrics is a game-changer. It dives deep into engineering metrics, offering insights into code velocity, quality metrics, and even CI bottlenecks. Whether you're assessing developer productivity or setting ambitious business goals, BuildPulse is your trusted ally.
In Conclusion
Measuring the software delivery pipeline is both an art and a science. It demands a blend of robust metrics and human insights. By understanding the 'how' and the 'what' of the pipeline, engineering teams can drive unparalleled value, aligning with business objectives and fostering a culture of excellence. And with tools like BuildPulse Engineering Metrics, the journey is not only insightful but also transformative.
FAQ
What is the difference between a flaky test and a false positive?
A false positive is a test failure in your test suite due to an actual error in the code being executed, or a mismatch in what the test expects from the code.
A flaky test is when you have conflicting test results for the same code. For example, while running tests if you see that a test fails and passes, but the code hasn’t changed, then it’s a flaky test. There’s many causes of flakiness.
What is an example of a flaky test?
An example can be seen in growing test suites - when pull request builds fail for changes you haven’t made. Put differently, when you see a test pass and fail without any code change. These failed tests are flaky tests.
What are common causes of flakiness?
Broken assumptions in test automation and development process can introduce flaky tests - for example, if test data is shared between different tests whether asynchronous, high concurrency, or sequential, the results of one test can affect another.
Poorly written test code can also be a factor. Improper polling, race conditions, improper event dependency handling, shared test data, or timeout handling for network requests or page loads. Any of these can lead to flaky test failures and test flakiness.
End-to-end tests that rely on internal API uptime can cause test flakiness and test failures.
What's the impact of flaky tests?
Flaky tests can wreck havoc on the development process - from wasted developer time from test retries, to creating bugs and product instability and missed releases, time-consuming flaky tests can grind your development process to a halt.
What is the best way to resolve or fix flaky tests?
Devops, software engineering, and software development teams will often need to compare code changes, logs, and other context across test environments from before the test instability started, and after - adding retries or reruns can also help with debugging. Test detection and test execution tooling can help automate this process as well.
BuildPulse enables you to find, assess impact metrics, quarantine, and fix flaky tests.
What are some strategies for preventing flaky tests?
Paying attention and prioritizing flaky tests as they come up can be a good way to prevent them from becoming an issue. This is where a testing culture is important - if a flaky test case is spotted by an engineer, it should be logged right away. This, however, takes a certain level of hygiene - BuildPulse can provide monitoring so flaky tests are caught right away.
What type of tests have flaky tests?
Flaky tests can be seen across the testing process - unit tests, integration tests, end-to-end tests, UI tests, acceptance tests.
What if I don't have that many flaky tests?
Flaky tests can be stealthy - often ignored by engineers and test runs are retried, they build up until they can’t be ignored anymore. These automated tests slow down developer productivity, impact functionality, and reduce confidence in test results and test suites. Better to get ahead while it’s easy and invest in test management.
It’s also important to prevent regressions to catch flakiness early while it’s manageable.
What languages and continuous integration providers does BuildPulse work with?
BuildPulse integrates with all continuous integration providers (including GitHub Actions, BitBucket Pipelines, and more), test frameworks, and workflows.
Combat non-determinism, drive test confidence, and provide the best experience you can to your developers!
How long does implementation/integration with BuildPulse take?
Implementation/integration takes 5 minutes!