Validata Blog: Talk AI-powered Testing

During 2015 the big “attack of the bugs” took place on numerous organizations causing very serious problems on their functions and reputation (read HERE). The following year, 2016, seems to be –at least till today- more quiet.

The QA and DevOps business is growing increasingly complex over time—due to legacy systems and the evolution into heterogeneous environments such as, software-as-a-service technologies, private clouds, public clouds, mobility, and the numerous integration points in between that keep it all working.

Digital technology uses more personal data than ever before. Our smart phones hold a lot of personal data as well as our bank customer profiles. In order to keep safe all this important information, the software that they depend on must be flawless. This may sound too strict but we must keep in mind that even a small malfunction in the system can cause a big real-life impact and destroy an organization’s profits and reputation in just a second. What can save us from this mess?

The ALM tools from the major software providers like HP QC, are designed to work with traditional structured or waterfall approaches, lacking clear focus on Test Analytics and not being able to support Agile practices and Continuous Delivery.