Robotics and AI: The future of software testing and development

【51CTO.com Quick Translation】 About a year ago, at a large testing conference, five senior engineers sat in front of about 300 test engineers and confidently announced that robotics and artificial intelligence would take over the world of software testing. Were they right?
We believe that the development of artificial intelligence in computers will not truly replace testing work, but it will change the way testing work is done.

Today, with the popularity of mobile applications, we are also seeing the application of robotics and artificial intelligence, especially in software testing. We have enough reasons to develop robotics and artificial intelligence applications to use them to improve costs and save time.

The field of robotics research has a relatively short history of documented research, but the data is growing rapidly and the relevant norms are forming rapidly due to the increasing application of robots and artificial intelligence in software testing. In terms of machine learning in software testing, robots can be trained faster than humans and they can become experts in software development. Robots and artificial intelligence are affecting software testing and development in terms of scope of testing, workload, debugging adequacy, continuous testing, etc.

1. Test scope and workload

A common problem in software testing is that as a project is built, the parameters of testing go up, resulting in additional workload for the testing team, which already limits their capabilities and the time they can work efficiently.

Using AI robots, testers can refactor tests to include new parameters and the coverage of tests can be increased without increasing the workload of the testing team. Robotic automation tools can also be customized with advanced levels of parallel testing and auto-tuning tasks. Software testers can have a complete robotic test automation team running a wide range of tests and responsible for supervising, checking and assisting them in compiling test procedures.

2. Sufficient debugging

Considering that AI robots can work 24/7, they can debug projects frequently when needed, and extend the testing time without the need for human input during testing. Testers are able to review and classify test results and resolve issues. Going a step further, we can see robotic automation testing, where robots can modify code to resolve errors or predict potential weaknesses.

3. Advanced Continuous Testing

Using AI to advance continuous testing in robots can expand the scope of testing capabilities. For example, using robots for automated testing can help report deviations or distinguish and clean up contaminated information. Again, using AI to answer questions to do some crappy work can improve the quality of testing and enhance the feasibility of the testing team's work.

The Present and Future of Robotics and Artificial Intelligence in Software Testing

Keeping the code intact and adding new features is fundamental during the automated testing process. The limitation of current testing is that robots can only search for bugs in suggested cases, and any new component has no impact on the test results unless a human tester is lucky enough to find a small change. Moreover, the advancement of artificial intelligence can help us find the profoundness of small changes in the product. The artificial intelligence system used in software testing understands what the client needs and can generate code for hundreds of test cases faster than a tester.

Currently, you have to maintain that in any number of cases, a software testing chatbot or framework can differentiate between bugs and highlights under the expected circumstances. “Smart bots” is no longer just a buzzword. It is a reality. This is valid in the world of automation testing as it is everywhere else as well.

If you pause for 1 minute to think about the innovative tools we use regularly, the use of artificial intelligence in robotics has already begun to permeate our lives. So get ready! The development of open source testing tools is on the verge of a revolution in AI testing tools. Although there is still some distance to go, we believe that the era of reliable software testing using artificial intelligence will soon arrive.

By Archana Yadav
Original link: https://dzone.com/articles/bots-and-ai-the-future-of-software-testing-and-dev
Translated by Liu Nina

[Translated by 51CTO. Please indicate the original translator and source as 51CTO.com when reprinting on partner sites]