The scope for software testing has never been extensive and wide-ranging. Nowadays, apps interact with other apps via APIs and leverage legacy systems. They grow in difficulty from one day to the next in a nonlinear manner.
Keeping this scenario in mind, we are presenting you 5 ways in which AI will transform software testing 2019.
1. Tools Will Be Required to Die or Evolve
Both software testing and development will continue to progress in step with the adoption of DevOps and Agile methodologies. These will continue to evolve in the era of AI also.
Machine learning and AI are focused on software training to comprehend output versus input data today. This is quite analogous to the testing activities performed manually. We find an expected output by typing input into the field.
The machine performs all the testing with artificial intelligence. It comes with different variations of tests. It automatically performs much more tests than a human could ever supervise. It also monitors modifications to UI and code that formerly had to be done by QA professionals.
Testing tools have evolved even without AI. Nowadays, tools assist testers to develop, organize and rank test cases. Efficiently managing tests and their results and remediating defects remain important to providing the developers with the feedback they require.
2. Test Management Tools Will Change for Scalability
Testing data is growing day by day. Therefore, just spreadsheets cannot report trends in test data and return tests rapidly. Your organizations require much more from testing.
A test management tool must change for scalability. Testers can use these tools to support an nth number of test cases and quick test reruns.
3. Silos
Product development stages are not isolated anymore. These days, every phase in product development is considered as an important part of the product development lifecycle.
App lifecycle management tools must support the complete development procedure. This means collecting requirements, performing traceability and managing tests.
4. Testers Will Vanish
AI is expected to replace testers. Therefore, rather than being a QA team, software testers will become a test automation team.
The only reason behind this is, that AI will make testing very efficient. Test automation engineers will act as experts teaching AI to implement the tests ” and many more variations and tests ” quicker than they could do manually.
Humans will control the test results, adding an important human element. After all, there are three sorts of requirements for testing (implicit, explicit, and latent). However, just explicit testing can be done by AI.
Majority of the things are going to transform in the testing field by the entrance of AI. Nearly 70% of testing is monotonous and AI can rapidly occupy that space. The 30 % left is enquiring the system, and that’s what testers require to focus on. Therefore, AI is the next big thing in testing. However, it won’t be a replacement for humans. The testers working along with AI can rapidly transform the way we test today.
5. Testing Will Change
Today, you would not find any software quality assurance professional saying that testing is the same as it was five years ago.
This is because Artificial Intelligence will play an important role in the future of software testing. However, it is not going to change software testing immediately. There are basic ideas about quality and testing that remain there for the predictable future.
