This year, several test coverage measurement tools already on the market offer no-code or even low-code test automation solutions to help the testing community, reducing concerns about the tech stack.
As the testing industry is expanding with many new principles and tools every day, testers also need to continuously improve their skills to test the product in a more robust and controlled way.
Innovative solutions
The 2022 testing trends were full of innovations in AI/ML and open source tools, such as WebDriverIO, which released its latest version v8, with enhanced features such as a new operations interface. It is important to stay up to date with the latest trends, especially when it comes to planning your testing strategy. In this post, we present the top 3 trends for 2023.
- Exploratory testing
- Testing in production
- artificial intelligence supported by test automation
Exploratory testing
As the market needs to deliver products faster, testers do not have time to write formalised test cases, which would consume significant time in the workflow. Exploratory testing is the only type of this process that encourages testing from a different perspective and identifying unknown risks and defects.
This procedure and the mindset of the tester can be used to perform a more intuitive exploration of the product. Because exploratory testing is done without scripted test cases, the tester has more control over the process, which helps to explore the application from the end-user's perspective.
Testing in Production – a new principle
We live in an era where customers want more and more complex features in the software products they use. Therefore, development teams are challenged to produce and deliver software to the end user at an even faster pace. This also challenges the testing teams, as they need to thoroughly test the product to be released as soon as possible.
The quality testing and verification functions of the application are performed in a live environment after release - such as a development, QA or staging environment - so more bugs are discovered before they reach the customer. However, testing in such environments requires a lot of time and effort, which is reflected in the product delivery process. To avoid this, the TIP view was created, which is a software development principle in which a newly developed product or feature is deployed and tested in live user traffic. Testing in production is basically no longer a novelty, as technology giants like Netflix have adopted this strategy to eliminate bugs at a higher rate.
Test automation supported by AI tools
Artificial intelligence is one of the most trending topics in the testing industry this decade. With the development of AI tools like ChatGPT and existing tools such as Applitools or Reportal.io, testers around the world are leveraging these tools to facilitate the testing process. AI tools will play a significant role in the IT industry to help even testers to perform the process faster and reduce errors.
One example of the use of AI is its ability to identify different test techniques. AI also helps in generating code templates for automation, as well as efficient code optimization and analysis of test results for visual testing.
Although neither the TIP principle nor AI-enabled workflows are new to the tech sector in 2023, their wider adoption in testing is seen as an innovative solution.