In brief: To effectively manage test automation, five KPIs are paramount: the rate of automatable test cases, automation progress, test coverage, defect density, and success rate. These indicators quantify your QA efficiency, accelerate time-to-market, and empower the team. This guide explains why to track them and how to interpret them.
The 5 most important KPIs to track in test automation are:
- Automatable Test Cases
- Automation Progress
- Test Coverage
- Defect Density
- Success Rate
Test automation enhances the efficiency and reliability of software testing, which is particularly crucial in today's Agile environment.
However, it’s not enough to simply run automated tests and incorporate them into your CI/CD pipelines. It’s also important to measure their effectiveness to ensure that test automation consistently adds value to your business!
Several Key Performance Indicators (KPIs) can be used to measure the success of your automated tests. In this article, we will review the top 5 metrics to track in your test automation efforts to maximize their return on investment.
Why Do We Need Metrics for Automated Tests?
The primary objective of KPIs is to demonstrate the performance of the testing process.
When determining which KPIs to measure, it is crucial to first consider why you intend to measure the quality of automation:
Quantifiable Results
Building an automation suite to rapidly deliver new, high-quality features to clients demands significant time and resources.
KPIs can be utilized to track the effectiveness of automated tests over time, assisting you in achieving exponential agility and realizing a quantifiable return on investment.
Accelerated Time to Market
If you aim to accelerate your release cycles, you must first understand your current velocity!
KPIs can help expedite the testing process by highlighting aspects that are not progressing as anticipated.
Accurately Holding Your QA Team Accountable
Having a standardized set of Key Performance Indicators that are communicated consistently will enable you to hold your team accountable for issues across various stages of the testing process.
Continuous Improvement
Continuous improvement should be a goal for any organization.
Ultimately, measuring the evolution of your tests will help you adapt and overcome challenges as you refine your automation scripts and processes.
Test Automation – Top 5 Metrics to Track
1. Automatable Test Cases
Not everything can be automated!
A crucial aspect of a testing strategy is to prioritize automation for test cases that will yield the highest return on investment.
This metric can assist teams in prioritizing high-value areas for automation and identifying areas that still require manual and exploratory testing.
*Segmenting this metric to cover specific components of your application can offer even greater value.
Automatable Test Cases % = (# of Automatable Test Cases / # of Total Test Cases) * 100
“The 'Percentage of Automatable Test Cases' KPI assists nascent automation teams who are still determining how to measure their success. It also enables stakeholders to identify high-value areas that are prioritized for automation.” – Source: LogiGear
2. Automation Progress
This KPI refers to the number of automated test cases that have been executed at a given point in time.
It is utilized to track the progress of an organization's automated testing efforts over time and identify areas where additional automation is required to enhance testing efficiency.
For example, if your goal is to automate 100% of “automatable” test cases, this KPI can be used to track your progress toward that goal and identify any significant deviations during the testing process.
'Deviations' may encompass tasks put on hold due to other priorities or unforeseen elements within the software, for example.
This metric can also be benchmarked against the automation objective for a regression suite or a new feature, assisting in understanding when progress is being made.
Automation Progress % = (number of actual automated test cases / number of automatable test cases) x 100
3. Test Coverage
Test coverage tracks the number of executed test cases and illustrates the percentage of test coverage achieved automatically versus manually.
By measuring this KPI, you can ascertain the extent to which your codebase is covered by all types of automation and identify software components lacking adequate test coverage.
% Automated Test Coverage = (# of automated tests / # of total tests) * 100
4. Defect Density
Defect density quantifies the total number of bugs and errors identified throughout a development cycle.
This KPI facilitates the identification of the weakest software components that demand more rigorous testing, and also indicates whether the development phase is encountering coding challenges that necessitate additional resources or training.
Defect Density = (number of known defects / total system size) * 100
5. Pass Rate
Representing the percentage of successful automated tests, this metric is valuable for understanding the stability and effectiveness of your automated test suite.
A low pass rate necessitates more time spent validating failures. If failures are determined to be false positives, this serves as an early indicator that your tests are unreliable.
Should this figure decline after an automated test execution, it will serve as an indicator that your release contains a higher-than-normal number of defects.
Pass Rate % = (# of successful cases / # of executed test cases) * 100
Automated Testing KPIs – Maintain a Holistic Perspective
KPIs are highly beneficial when aligned with your automation strategy, guiding your strategic decision-making.
However, do not become overly fixated on achieving positive targets. When a metric becomes the objective, it ceases to be a measure!
Another consideration is that while metrics are essential for tracking and comprehending test automation, each individual metric can present an incomplete and occasionally misleading picture.
In summary, it is extremely important to consider the context and meticulously analyze each KPI.
Mr Suricate Insights into Automated Testing KPIs
In conclusion, Mr Suricate ’s no-code automated testing tool Mr Suricate several metrics for measuring the performance of your tests.
Its intuitive UX and clear reporting streamline the identification of key metrics to track in test automation.
FAQ
Which KPIs to Track in Test Automation?
The five essential metrics are: automatable test cases, automation progress, test coverage, defect density, and success rate. Together, they measure the effectiveness and reliability of your testing strategy.
What is Test Coverage?
It represents the proportion of functionalities or code actually covered by your tests. Higher coverage on critical paths helps secure revenue and significantly reduces the risk of production bugs.
Why Track Testing KPIs?
Because you can only manage what you measure. KPIs quantify results, accelerate time-to-market, empower the QA team, and drive continuous improvement.
