Accenture Global Solutions Assigned Two Patents

Robotic regression testing for smart devices
Accenture Global Solutions Limited, Dublin, Ireland, has been assigned a patent (10,838,850) developed by Akiona, Nicholas, Tung, Teresa Sheausan, and Dukatz, Carl Matthew, San Jose, CA, for a “robotic regression testing for smart devices.“

The abstract of the patent published by the U.S. Patent and Trademark Office states: ”Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for generating multiple distinct test plans using a computing system. The system merges the each of the test plans to produce a first test plan and obtains performance data about automated execution of the first test plan by a robotics system. The system generates learned inferences for determining predictions about execution of the first test plan based on analysis of the performance data and adjusts the first test plan based on the learned inferences. The system generates a second test plan for execution by the computing system based on adjustments to the first test plan and performs the second test plan to test multiple devices using the robotics system.”

The patent application was filed on November 26, 2018 (16/199,983).

Event abstractor
Accenture Global Solutions Limited, Dublin, Ireland, has been assigned a patent (10,838,782) developed by Liongosari, Edy S., San Jose, CA, for an “event abstractor.“

The abstract of the patent published by the U.S. Patent and Trademark Office states: ”Methods, systems, and apparatus, including computer programs encoded on computer storage media, for detecting higher level events based on lower level events. In one aspect, a method includes receiving a stream model that defines elements of a data domain. A stream mapping that defines sensor identifiers for real-world sensors and associates each sensor identifier with a respective element of the data domain is received. A user-specified stream matching pattern is received. The stream matching pattern specifies respective sensor identifiers of sensor identifiers of the real-world sensors, and for each sensor identifier, a tuple of data elements of the stream model and, for each tuple of data elements, co-occurrence criteria including at least one time window. A stream of events is obtained from the real-world sensors. A determination is made that two or more events co-occur within the time window and whether the one or more co-occurrence criteria are satisfied.”

The patent application was filed on May 24, 2016 (15/163,181).