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DevOps is constantly evolving but what does this mean for software testing? We give our expert predictions on what the future holds for testing in Devops.
In the world of DevOps, times are changing.
With the AI revolution in full swing, and a push towards faster, more efficient ways of working, testing in DevOps is undergoing a monumental shift.
So, what does this mean for the future of software testing?
While we don't have a crystal ball, as experts in automated testing, it is inevitable that intelligent automation will be the next big thing. In fact, it’s already starting.
But this is not the only change we see on the horizon.
If you are curious to find out more, then here is what we predict for the future…
Traditional testing has often fallen short in the fast-paced environment of software development.
Testing used to be a bottleneck for DevOps teams, a necessary but cumbersome process that didn’t mesh well with meeting ever-looming deadlines.
But in recent years this has been changing, with a shift towards what is known as TestOps. This practice fully integrates testing into the DevOps pipeline and creates what's known as a quality-first mindset where testing is not an afterthought, but a continuous part of the development process.
It's all about continuous testing, early bug detection, and seamless collaboration between the whole team working on the project. This involves executing automated tests at every stage of development so that feedback is immediate and actionable.
This thought process is to ensure that testing is considered at every stage of the development lifecycle, thus reducing your time to market and ultimately leading to a more stable and reliable software application.
By focusing on automation and smart testing strategies, TestOps addresses the gaps that traditional QA and DevOps teams have struggled with and is creating higher quality and faster testing for the software industry.
The rise of low-code and no-code test automation tools is one of the most significant developments in testing.
In days past, sophisticated test automation required advanced coding skills, so only developers or specialized QA experts could handle it.
However, this barrier to entry is no more.
Low-code/no-code platforms are now democratizing test automation, allowing even the most non-techy team members to design and execute complex tests.
This accessibility speeds up the testing process by reducing the dependency on specialized skills. What's more, it fosters a culture where everyone on the team can contribute.
As DevOps teams realize just how user-friendly AI testing tools can be, expect to see widespread adoption and a fundamental transformation in how testing is approached.
Generative AI goes beyond simple automation, and this, along with machine learning, is creating what is known as intelligent automation.
How, you ask?
Well, simply by being able to self-learn.
Intelligent AI-driven testing tools can autonomously create new test cases, allowing for more experimentation and broader test coverage without the need for manual intervention.
These tools don’t just follow preset instructions - they learn from the application they’re testing, identifying bugs, creating new tests, and even predicting potential issues before they happen.
Traditionally in automated testing, even a small change in the app’s design or functionality can cause test scripts to fail, which means teams have to spend time fixing them.
Now, self-healing tests, powered by AI, automatically adjust to these changes, reducing the need for constant test maintenance.
This makes testing in DevOps faster, more efficient, and kept up-to-date as the software evolves.
As AI automation takes over routine testing tasks, the role of the tester is evolving.
Like with all things AI automation, testers will move away from the simpler tasks and become more focused on strategic thinking.
This shift opens up opportunities for testers to engage in more creative, impactful, and innovative ways of working.
Now, the software industry is moving towards an intelligent testing future where quality is baked in from the very start and not just as an afterthought.
When it comes to testing in DevOps, the future is streamlined, intelligent, and automated.
With low-code/no-code platforms and intelligent AI automation, testing is fast becoming a seamless part of software development.
As it becomes more integrated into DevOps teams, frustrating bottlenecks are being replaced by innovation and speed.
Whether you’re a developer, tester, or part of a DevOps team, the future of testing is intelligent and AI-powered.
Want to join the revolution?
Then book a demo now and see how Virtuoso QA can level up your DevOps team with AI-powered automated testing solutions to meet your business objectives.
