Artificial Intelligence Testing is being used by enterprises as a smart way of testing. It helps in reducing significant costs by making the process faster, increasing test coverage and reducing cost. Artificial Intelligence gives the ability to a machine to understand an environment, perform “intelligent” actions, and learn how to improve itself automatically. Testing combines lots of human and machine-generated data such as project documentation, test artifacts, defect logs, test results, production incidents etc. AI can learn from these test assets and provide intelligent insights like app stability, failure patterns, detect defects and make testing more efficient with reduced time and labor.
Maybe the only significant difference between a really smart simulation and a human being was the noise they made when you punched them. – Terry Pratchett, The Long Earth
Testing is a ripe field for applying AI because testing is fundamentally about inputs and expected outputs. In Artificial Intelligence testing, machines will write all the test codes and execute it. Putting developers onto the task is expensive, using Artificial intelligence testing, the process will be a lot easier and will need less manpower, the quality assurance will increase and will save a lot of time and money.
According to Golze, that the very nature of intelligent systems means that there is an element of learning – the system will make mistakes that need to be corrected so that it will not repeat them. It is hard to say how long it will take before they are really effective
On 28th April 2016 investor call, Facebook founder and CEO Mark Zuckerberg were asked how the machine learning technology behind its recent introduction of bots to Messenger would manifest itself in the future. “So the biggest thing that we’re focused on with artificial intelligence is building computer services that have better perception than people,” he replied. “So the basic human senses like seeing, hearing, language, core things that we do. I think it’s possible to get to the point in the next five to 10 years where we have computer systems that are better than people at each of those things
An A.I. bot is a software that will respond back to user input and will keep learning and upgrade itself with the process and it will do it on it’s on. A.I. Bots test the performance of every action in an app, many times, and catch regressions within minutes of each new build. Bots can automatically discover new features and test new behaviors for basic testing. Bots can also provide increased test coverage and execute in parallel, enabling all this work to be done in just minutes.
More than 80 percent of testing is repetitive. You’re often just checking that things work the same way they did yesterday. This work is solvable by our AI bots and automation. With bots, we focus more on qualitative aspects of software testing with more creative and business specific test inputs and validations. We think of test cases that will break the machine processing for your specific app (e.g., negative prices, disconnecting the network at the worst possible time, or simulating possible errors).
We have helped enterprises by increasing the application stability by 63% while decreasing the costs by 40% using intelligent automation process.
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