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November 12, 2022
Test automation best practices are key to success in DevOps. And the building blocks of fully functional test automation are the automated test cases.
Here, we cover our top test automated testing best practices — and dive into tips on how to use automated test cases.
Back to top7 Test Automation Best Practices
Here are 7 best practices for test automation.
- Start small and grow.
- Accept that not every test enters CI.
- Debug — and debug again — across platforms.
- Make your script reusable.
- Validate within and between the tests.
- Plan for unexpected events.
- Keep the channel between engineering, test, and business open.
And the Key to Test Automation Is...
We believe that the key to test automation is to:
- Start with a small number of test cases.
- Automate them.
- Assure that they are robust enough to be executed in parallel and unattended.
Once you've achieved that, invest more and grow the automated test suite.
Back to topHow to Use Test Automation Cases
1. Test Case Objectives
You want to have some objectives in mind before you decide what to automate. It’s highly important that your testing stakeholders run through questions with a focus on value and context.
What value do we want to add by automating? What defects do we want to find and prevent? What areas of testing are highly critical to customer satisfaction?
Use your own business and departmental experience to establish your test objectives, so that at the end you experience meaningful results that the entire business can see. Keep in mind that such objectives must be tuned as the product lifecycle evolves to ensure the directions and focus are still relevant.
2. Prioritize Your Tests
Not everything that is automated needs to be part of your job or part of your CI. If a test is not important to CI in the long term, it will waste precious time to monitor and fix when in reality you simply don't need to fix the issue.
The bottom line is that you want to focus your time only on the important tests, so be very diligent in defining those tests that become part of your suite.
3. Reliability Across Platforms and OS
We are in a digital age, so everything runs on mobile platforms like smartphones, tablets, foldable smartphones, and desktop browsers.
You want to think with scale in mind when developing new test automation or even maintaining existing automation.
4. Time to Develop and Maintain
The time to develop and maintain a test is absolutely crucial. While you may have created a sophisticated test, if it was a time-consuming endeavor, it’s not realistic to use long term. You must balance the test creation effort with the overall resources you have available to keep automation running. This is true test automation scalability.
In addition, test code MUST be treated as your production code to ensure it is backed up, has history, can be maintained and fixed easily, and more.
5. Coverage Area
Automated testing is also about test coverage.
First is platform coverage, which includes smartphones, browsers, and operating systems that should be covered when parallel testing. The other facet of coverage is test scenarios, which include the business flows in the product. Ideally, coverage encompasses the product and application scenarios that are critical for every single test cycle.
As an organization, you should know the level of coverage you currently achieve, and with test automation in place, your coverage should be extended. Keep monitoring your coverage to know whether automation is achieving a lift.
6. Early Warnings and Flakiness
Additionally, something that people tend to neglect is the early warnings. When you are creating test automation for the first time, there will be important early warnings that convey test flakiness, inconsistent results when running against different platforms, latencies, and synchronization issues.
Keep early warnings in mind and when you see a test that is error-prone, keep an eye on the test. One way to address test flakiness is through test reporting, by adding relevant annotations and tags that can be filtered and examined.
Back to topWho Creates Test Automation Cases?
Every organization is unique, especially when it comes to the individual team members and their skillsets. When it comes to automated test cases, your team personas will have a major impact.
Here are the three business personas that contribute to the testing life cycle:
- The business tester typically does not have programming or coding experience. They contribute to test cases when there are codeless tools available. The business tester brings business context and strategy to the test case creation.
- The software developer in test (SDET) has coding skills and can create test cases with various test automation scripts.
- The software developer is responsible for the heavy bulk of automated test case creation because of their coding knowledge.
Back to top
How to Decide Which Test Cases to Automate
When you have your automated test case plan set and your team in place, you can finally decide which test cases to automate.
1. Instinct
The decision-making process starts with a test engineer’s gut instinct which is based on experience and test creation talent.
2. Risk
Teams should also pay attention to the risk associated with a test and a defect. A test engineer will have a process for calculating the risk as a probability that an issue will occur and how it would impact customers.
3. Value
The value should always be a huge part of the automated test case development process. Testers should consider whether a test case will provide new information. If a test case were to fail, how long would a fix take?
4. Cost Efficiency
Return on investment is key when getting your automated test cases off the ground. If too much time is spent on test case creation, the value will quickly diminish. Keep in mind the pace with which you create your tests and how easy they are to script.
5. History
When thinking of creating a test case for a feature or functionality, weigh the volume of historical failures and frequency of breaks for the feature or function. If it is a highly sensitive or volatile area to test, it may not be a good candidate for test case creation.
Back to topTips For Successful Automated Test Cases
It’s one thing to create valuable test cases from the beginning. However, writing test cases with longevity is the ultimate payoff. When creating test cases, it’s important to think about the impact of time.
Think about the future of the web or mobile applications. What changes are in the roadmap? Will the test case be compatible with those additional iterations?
Think about the organization and its evolution. Will the organization have the resources available long-term to support the test cases you create today?
Another consideration is how technology will change. Every few weeks you see a new device and a new operating system. Do your test cases match the technology, OS, and devices of today, as well as the technology that’s to come? For example, do you have test cases prepared for the eventual takeover of 5G vs 4G?
While it’s impossible to predict the future, spending time reviewing the possibilities of what’s to come for your software development organization will help.
Test case maintenance is as important as test case creation. Consider all variables including the business personas on your team, the organizational roadmap, and tech changes on the way.
Back to topMeasure Your Test Case Value
If you’ve followed the guidelines in this article, your test cases should be well designed and prepared for scaled automation. At this point, you will be running many tests and gaining significant test case data.
This data is how you can discern if your test cases are really successful. Measuring test case value is the final piece of automated testing best practices. There are several elements to measuring the value of your test cases.
Consistently Track Test Case Success and Failure
An important test case measurement is DRE, or defect removal efficiency, which is a metric used in the software testing industry. DRE defines how well test automation performs in removing defects introduced to a software application.
The DRE equation is DRE = Ratio between the total defects found prior to app release to production /total defects introduced later in the cycle (Production/UAT))
A good DRE metric includes a minimal number of defects in the denominator, with higher number in the nominator field. When this occurs, “shifting left” is in progress. Ultimately, through monitoring the DRE and identifying defects prior to the release of the product, better overall test automation is achieved.
While each group will build out their process of measuring DRE, the key is to keep it formalized and ongoing. Establish a baseline DRE so your team can work to improve upon your average DRE every cycle. Periodically review the number and make changes accordingly.
Remember, it’s important to keep an eye out for test automation success metrics as well as failures. Check out this post for more: 4 Signs Your Automation Is Failing You.
Recommended Automated Test Case KPIs
To get your team started, these are some recommended points of test case analysis. These KPIs all shed valuable insight on your test automation success.
| How fast are testing activities moving | Application quality measurements | Pipeline efficiency measurements | Quality cost measurements |
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While the process of test creation according to industry best practices can seem daunting, we hope this blog gave you a step-by-step path to get started.
Remember, each team has its own unique strengths, skills, and testing personas. Take time to assess your existing resources and software development processes and begin to create test cases according to these best practices.
Soon your test automation will be running with success, saving your team time, and helping you deliver best-in-class applications.
Back to topBottom Line
From test case creation to measurement, the process of implementing automated testing is essential to successful DevOps. Perfecto makes test authoring, maintenance, management, and measurement a seamless experience for your team.
With the Perfecto platform, your enterprise can expertly navigate and automate advanced test scenarios. Plus, we integrate with your existing testing frameworks including Selenium, Espresso, and Appium.
See how Perfecto works across mobile, web, and desktop testing, scriptless automation, AI-driven execution, and analytics in these guided demos.
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