ACCEL8 today announced the cloud-based ACCELQ Live test automation platform that continues to be integrated with a wide range of low-code and no code application development and deployment platforms.
ACCEL8 CEO Mahendra Alladi said the goal is to make it simpler to run complex tests in a multi-cloud computing environment.
The use of low-code and no-code tools has expanded greatly since the beginning of the COVID-19 pandemic. Many organizations now rely on these tools to accelerate a wide range of digital business transformation initiatives. The challenge they face is that many of these processes depend on multiple applications that are so interrelated that it is difficult to conduct tests, Alladi said.
The ACCELQ Live platform reduces testing complexity by automatically updating itself as, for example, the Salesforce or ServiceNow platforms are updated. It also provides access to pre-built codeless automation assets modeled on business processes via live links. The company is also moving toward creating a marketplace where software vendors and service providers can build and deploy pre-built testing assets, as well.
Gartner predicts that the use of low-code and no-code technologies will nearly triple by 2025. Testing those applications creates a major challenge as the speed of application development increases. The only way organizations can keep up is by adopting test automation platforms with artificial intelligence (AI) capabilities, Alladi says. In effect, ACCEL8’s ACCELQ Live represents an effort to democratize the testing of cloud and enterprise apps, he added.
As organizations increasingly value their reliance on software, the method of evaluations is evolving rapidly. In addition to dedicated testing teams, application developers and owners are becoming more involved as the responsibility for testing applications continues to shift left. The challenge facing organizations is that the number of applications being done simultaneously has increased significantly. Platforms that automate many lower levels of testing functionality are gaining traction as a way to allow people to focus more of their time and energy on more complex testing. functionality. The goal now should be to first rely on test automation platforms as much as possible and then use people to fill in the gaps as needed, Alladi says.
It can take a long time before most organizations achieve that level of testing automation. However, with each passing day, it is clear that AI will play a larger role in application testing. The issue that many DevOps teams are now working on is how to integrate test automation platforms within the context of a larger workflow.
In the meantime, the rate at which tester applications are burned out should decrease as more routine errors are detected by the machines. AI is unlikely to eliminate the need for dedicated testing teams any time soon, but as more reporting tasks become automated, there will be more time to focus on improving overall quality in a chance that application environments have not only become more distributed but also more complex.