Four in five (78%) software testers have integrated artificial intelligence into their routines to ensure product quality and reliability, according to a new report from LambdaTest, a cloud provider for digital experience testing.
The survey of more than 1,600 software testers shows that many employees are using AI for test case generation and test analysis in an effort to save time and explore opportunities they might have previously missed.
LambdaTest also noted that more and more companies are implementing testing procedures at earlier stages to improve overall quality.
AI contributes to the reliability of apps
The report cites another survey showing that 71% of software engineers are concerned about the reliability of software in their workplace. The study also points to several recent failures, including the “largest and most catastrophic service disruption since September 11” for the US air traffic sector.
Some of the top areas that benefit from AI during software testing include creating test data (51%), writing code for automated tests (45%), analyzing and reporting test results (36%), and formulating test cases (46%).
It is hoped that artificial intelligence can reduce the amount of time employees spend on menial tasks. As much as 10% of software testers' time is spent setting up and maintaining test environments, and another 8% is spent fixing bad tests.
Speaking about the three-quarters (74%) of teams that do not have a structured prioritization system, LambaTest CEO and co-founder Asad Khan said:
“We understand that while AI adoption is an important step forward, the journey does not end here. For example; Our research highlights the need to address bottlenecks that impact productivity, such as brittle tests, in addition to setting up and maintaining test environments.”
Looking ahead, it's clear that the primary function of AI tools is to help, not replace, employees, freeing up their time to develop solutions that promise better results.