Sauce Labs Inc.

Christian Bromann

Bradley Scott Adelberg

Yeh Fang

Yaroslav Borets

Fernando Vidal

Jean Sandberg

Robert Henrikson

Methods and apparatus are described by which a rich, time-correlated information set is captured during automated testing of an application in a way that allows the application developer to understand the state of the application under test (AUT), the browser interacting with the AUT, and/or the device interacting with the AUT, as it/they changed over time. Mechanisms or features associated with browsers and/or device operating systems are exploited to capture such information, not only for the purpose of better understanding individual test runs, but also to enable the use of analytics over data sets.

Automated application testing system

Machine learning techniques are employed to model test runs of an automated test platform in ways that allow for reliable identification of various types of test behavior such as, for example, whether certain classes of failures can be characterized as test flake.

Analytics for an automated application testing platform

Growing community of inventors

Berlin, Germany

Christian Bromann