An automatic robot control system and methods relating thereto are described. These systems include components such as a touch screen panel (“TSP”) robot controller for controlling a TSP robot, a camera robot controller for controlling a camera robot and an audio robot controller for controlling an audio robot. The TSP robot operates inside a TSP testing subsystem, the camera robot operates inside a camera testing subsystem, and the audio robot operates inside an audio testing subsystem. Inside the audio testing subsystem, an audio signals measurement system, using a bi-directional coupling, controls the operation of the audio robot controller. In this control scheme, a test application controller is designed to control the different types of subsystem robots. Methods relating to TSP, camera, and audio robots, and their controllers, taken individually or in combination, for automatic testing of device functionalities are also described.

An automatic robot control system and methods relating thereto are described. These systems include components such as a touch screen panel (“TSP”) robot controller for controlling a TSP robot, a camera robot controller for controlling a camera robot and an audio robot controller for controlling an audio robot. The TSP robot operates inside a TSP testing subsystem, the camera robot operates inside a camera testing subsystem, and the audio robot operates inside an audio testing subsystem. Inside the audio testing subsystem, an audio signals measurement system, using a bi-directional coupling, controls the operation of the audio robot controller. In this control scheme, a test application controller is designed to control the different types of subsystem robots. Methods relating to TSP, camera, and audio robots, and their controllers, taken individually or in combination, for automatic testing of device functionalities are also described.

A method and an apparatus for verifying an operation state of an application are provided. The method can include setting target verification operation information according to an operation verification item of an application to be verified; setting a verification process instruction for the target verification operation information; encapsulating the verification operation information and the verification process instruction as fault injection data, and sending the fault injection data to a data input port of the application to be verified; matching the process feedback information with the verification process instruction in response to receiving the process feedback information corresponding to the fault injection data, and determining executed target verification operation information.

An automated fault injection testing and analysis approach drives fault injection into a processor driven instruction sequence to quantify and define susceptibility to external fault injections for manipulating instruction execution and control flow of a set of computer instructions. A fault injection such as a voltage or electromagnetic pulse directed at predetermined locations on a processor (Central Processing Unit, or CPU) alters a result of a processor instruction to change values or execution paths. One or more quantified injections define an injection chain that causes a predictable or repeatable deviant result from an expected execution path through the code executed by the processor. Based on accumulation of fault injections and results, a repeatable injection chain and probability identifies an external action taken on a processing device to cause unexpected results that differ from an expected execution of a program or set of computer instructions.

An automated fault injection testing and analysis approach drives fault injection into a processor driven instruction sequence to quantify and define susceptibility to external fault injections for manipulating instruction execution and control flow of a set of computer instructions. A fault injection such as a voltage or electromagnetic pulse directed at predetermined locations on a processor (Central Processing Unit, or CPU) alters a result of a processor instruction to change values or execution paths. One or more quantified injections define an injection chain that causes a predictable or repeatable deviant result from an expected execution path through the code executed by the processor. Based on accumulation of fault injections and results, a repeatable injection chain and probability identifies an external action taken on a processing device to cause unexpected results that differ from an expected execution of a program or set of computer instructions.

A method for detecting a fault injection is described. The method includes providing a secondary code, the secondary code including a predetermined function with a known expected result when the secondary code is executed with a known tested input. A primary code is executed in the data processing system. The primary code may be a portion of code that requires protection from a fault injection attack, such as for example, security sensitive code. The secondary code is executed in parallel with the primary code execution in the data processing system to produce an output. The output is compared with the known expected result to detect the fault injection attack of the data processing system. In one embodiment, the secondary code is not related to the primary code.

A method for detecting a fault injection is described. The method includes providing a secondary code, the secondary code including a predetermined function with a known expected result when the secondary code is executed with a known tested input. A primary code is executed in the data processing system. The primary code may be a portion of code that requires protection from a fault injection attack, such as for example, security sensitive code. The secondary code is executed in parallel with the primary code execution in the data processing system to produce an output. The output is compared with the known expected result to detect the fault injection attack of the data processing system. In one embodiment, the secondary code is not related to the primary code.

Disclosed herein are methods and systems for providing data recovery recommendations. In an exemplary aspect, a method may comprise identifying a plurality of storage devices. For each respective device of the plurality of storage devices, the method may comprise extracting a respective input parameter indicative of a technical attribute of the respective device, inputting the respective input parameter into a machine learning algorithm configured to output both a first likelihood of the respective device needing a data recovery and a second likelihood that the data recovery will fail, and determining a respective priority level of the respective device based on the first likelihood and the second likelihood. The method may comprise normalizing each respective priority level, and recommending a device of the plurality of storage devices for a test data recovery procedure based on each normalized priority level.

Disclosed herein are methods and systems for providing data recovery recommendations. In an exemplary aspect, a method may comprise identifying a plurality of storage devices. For each respective device of the plurality of storage devices, the method may comprise extracting a respective input parameter indicative of a technical attribute of the respective device, inputting the respective input parameter into a machine learning algorithm configured to output both a first likelihood of the respective device needing a data recovery and a second likelihood that the data recovery will fail, and determining a respective priority level of the respective device based on the first likelihood and the second likelihood. The method may comprise normalizing each respective priority level, and recommending a device of the plurality of storage devices for a test data recovery procedure based on each normalized priority level.

A central processing unit includes a core, a state memory, a plurality of bus contacts, a data generation unit, and a bus interface unit. The state memory stores a state, the bus interface unit is coupled to the core and the state memory, and the bus interface unit selectively couples the core to the plurality of bus contacts or the data generation unit according to the state.