Panaya harnesses machine learning for enterprise testing


Jake Klein, Panaya

SaaS-based testing provider Panaya has released the next version of its test platform, Panaya Test Centre (PTC), to streamline enterprise application testing through automation, automatically creating real-life test cases based on actual usage to improve testing relevance and efficiency.

“Despite the fact that IT departments invest heavily in automation, manual methods are still used for 80 per cent of enterprise application testing,” said Jake Klein, CEO, Panaya.

“Panaya Test Centre 2.0 leverages advanced technologies to replace inefficient manual methods so that our users can collaborate and create higher quality software faster, which is essential for enterprise agility and digital transformation,” he said.

PTC 2.0 introduces Omega, the engine behind Panaya’s Autonomous Testing for SAP launched in May 2017, which uses machine learning algorithms to automatically create real-life test cases based on business user activities captured in production.

The new version reduces testing efforts by 30 – 50 per cent without sacrificing scope or quality, according to the company. Users save considerable amounts of time compared to manual testing, which is traditionally managed in Excel and Word. The new version standardises test cycles so that both IT and business users adopt the same testing methodology.

In addition, the platform generates audit-ready test documentation for proof of compliance, including e-signatures for test runs as well as the signature process monitoring that is mandatory for heavily regulated industries such as medical devices, pharmaceuticals, and financial services. In addition to test evidence, PTC 2.0 provides a record of steps to simplify test reproduction.

“In total, we achieved 50 per cent time savings on all regression tests, as we recorded our test cases and can re-use them every time,” said Martin Spiegler, project manager, Eissmann Group Automation.

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