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Becoming agile will take time and require commitment, but it is nonetheless vital for harnessing the forces that are accelerating innovation and digital transformation for organizations worldwide.
Building a continuous integration and continuous delivery (CI/CD) pipeline is a core endeavor for DevOps in organizations transitioning to agile.
In this blog post, we zoom in on continuous integration, and outline which steps are needed in order to build this part of the pipeline. We then highlight the role of automation, and specifically test automation, in continuous integration. Last, we address common barriers to success with test automation, including maintenance burdens and scaling challenges.
In sum, you’ll learn:
Continuous software delivery has clear, measurable benefits. As McKinsey state: “Continuous software delivery can increase companies’ speed to market with high quality digital products and services.” The compare traditional software to continuous software delivery and highlight the difference in outcome for quality and testing:
Quality and testing
Manual testing of up to 50% of software releases performed by large teams
Automated testing with more than 80% coverage requires limited human intervention to validate
To achieve continuous software delivery, a CI/CD pipeline must be in place. The continuous integration part of the CI/CD pipeline is made up of four core components:
Building a CI pipeline takes more than these tools, however. As with agile, it takes commitment and resources to truly adopt these tools, as well as a shift in mindset and cultural management to achieve measurable benefit from a CI pipeline.
Read more about this in our blog post A Guide to Achieving Continuous Integration in Agile.
But obstacles shouldn’t turn into objections. Next, we’ll dive deeper into automated testing - an area in which many teams experience obstacles to success - and address its importance as well as the paradoxes keeping teams from reaping its benefits.
The concept and benefits of failing fast are common knowledge in the software testing space by now. Failing fast goes hand in hand with shift-left testing and continuous testing; it’s about testing earlier and more frequently in the release cycle.
When bugs are found earlier, they are less costly to fix in terms of time and development resources. Traditional waterfall methods of development would only test at the very end of a release cycle, at which point software glitches could have incremental effects on the entire product. This is a risk that modern businesses simply cannot take.
Testing should instead occur at several stages of development: From unit tests, the initial testing of core components of the code, to API tests that test software ‘behind the scenes’, to functional tests that test the interfaces the users interact with (UI testing).
The notion of testing early shouldn’t be confused with only testing at the component level, and assuming that if the components work, the entire system will work too. That’s a bit like thinking a functioning steering wheel in a car also means that the car can drive.
Higher level testing that validates features and system-level integration is required. This can be done through end-to-end functional UI testing. Ideally, these types of tests should be run at every release. This is only possible if it is automated.
Does this mean that testers are replaced by automation robots? Absolutely not. By freeing testers from the drudgery of repetitive, mundane work, such as regression testing, they can focus on test design and analysis, as well as exploratory testing. This is where true innovation in product quality happens.
Test automation is without a doubt an investment. The benefits once implemented are great, but make no mistake, you will need to invest time and resources into finding the tool, implementing it, and onboarding team members.
After that comes using the tool to create tests, maintaining it, and scaling it to maximize the benefits of automation and achieve greater coverage - and this is where the real obstacles occur.
Teams that have worked with Selenium, or other code-based tools, will be familiar with the time and effort that goes into learning the tool, writing test scripts, and maintaining the code.
The sustainable solution to letting agile teams test continuously involves investing in a no-code test automation tool.
Leapwork’s no-code test automation lets teams test continuously at high speed whilst minimizing the time spent on set-up and maintenance. The platform will integrate into your existing CI/CD pipeline for seamless operations and support collaboration across and within teams, due to its visual no-code language. What’s more, it will let you scale your automation, giving your business a greater return on investment, fast.
Learn more about Leapwork’s no-code platform for continuous testing in our webinar: Continuous Testing in Agile.