The 4 pillars of engineering productivity
Engineering Metrics
Oct 10, 2023
In the dynamic realm of software engineering, productivity is not just about churning out code. It's about delivering quality, meeting business goals, and ensuring that the engineering team is working in harmony. As the landscape of software development evolves, so does the need for a comprehensive approach to measuring and enhancing productivity. Enter the four pillars of engineering productivity: code velocity metrics, throughput metrics, quality metrics, and goals. Let's delve deeper into these pillars and understand how they can revolutionize the way engineering teams operate.
1. Code Velocity Metrics
Code velocity metrics provide insights into the pace at which the engineering team is producing code. These metrics encompass factors like:
Cycle Time: The time taken from the inception of a task to its completion.
Lead Time: The duration from the moment a new feature is requested until it's delivered to the customer.
Pull Requests: Monitoring the frequency and efficiency of pull requests can shed light on team collaboration and the review process.
By analyzing code velocity metrics, stakeholders can gauge the efficiency of the engineering team, identify bottlenecks, and implement optimization strategies.
2. Throughput Metrics
Throughput metrics focus on the volume of tasks the engineering team completes within a given timeframe. This includes:
Development Process: How streamlined is the process from task allocation to code deployment?
Team Performance: How effectively is the team collaborating to achieve common goals?
Benchmarks: Setting benchmarks based on historical data can help teams strive for continuous improvement.
Throughput metrics offer a snapshot of the team's performance, helping engineering leaders make informed decisions about resource allocation, training, and process refinement.
3. Quality Metrics
Quality is paramount in software engineering. Quality metrics delve into the intricacies of the code, ensuring that it's not just functional but also robust and efficient. Key components of quality metrics include:
Code Review: A meticulous code review process ensures that the code is free from errors and aligns with the team's coding standards.
Code Complexity: Complex code can be challenging to maintain and can lead to errors. Monitoring code complexity can help teams refactor and streamline their codebase.
Lines of Code Added & Deleted: This provides insights into the volume of code being produced and the efficiency of the development process.
Percentage of New Features vs. Refactor: Balancing new feature development with code refactoring is crucial for maintaining a healthy codebase.
4. Goals
Goals provide direction. They ensure that the engineering team's efforts align with the broader business objectives. Setting clear, measurable goals can help teams prioritize tasks, allocate resources effectively, and ensure that they're working on initiatives that drive value. Goals encompass:
Business Goals: Ensuring that the engineering projects align with the company's strategic objectives.
Team Productivity Goals: Setting benchmarks for team performance, code quality, and delivery timelines.
Developer Productivity Goals: Empowering individual team members with clear objectives can boost morale and enhance individual performance.
Harnessing the Power of Metrics with BuildPulse
While understanding and implementing these pillars is crucial, having the right tools can make all the difference. BuildPulse Engineering Metrics offers a comprehensive suite of tools that delve deep into engineering metrics, providing teams with actionable insights. Whether it's monitoring code velocity, assessing code quality, or setting and tracking goals, BuildPulse ensures that teams have a holistic view of their performance.
Moreover, in the ever-evolving world of devops and continuous integration, tools like BuildPulse can be invaluable for engineering leaders looking to foster a culture of continuous improvement and innovation.
Conclusion
In the intricate world of software engineering, the balance between productivity and quality is paramount. The four pillars of engineering productivity provide a comprehensive framework for teams to measure, analyze, and enhance their performance. By harnessing the power of metrics and combining it with tools like BuildPulse Engineering Metrics, engineering teams can set themselves up for success, ensuring that they deliver value, meet business objectives, and foster a culture of excellence.
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!