Abstract: An embodiment of the present invention is directed to a novel approach of applying Machine Learning, statistical methods and/or other algorithms to identify associations of input conditions and values with results of requirements, measures of performance assessments, and/or other indications. These associations may be provided to an analyst, system designer, other recipient and/or receiving system or component to inform of input conditions and values that uncover system sensitivities.

Abstract: An embodiment of the present invention is directed to a novel approach of predicting software failures while executing in an operational or production environment. The innovative method and system provides analytic capabilities that monitor a system and input conditions and further provides a prediction mechanism to anticipate a software failure and present an improved course of action.

Abstract: An embodiment of the present invention is directed to a novel approach of applying Machine Learning, statistical methods and/or other algorithms to identify associations of input conditions and values with results of requirements, measures of performance assessments, and/or other indications. These associations may be provided to an analyst, system designer, other recipient and/or receiving system or component to inform of input conditions and values that uncover system sensitivities.

Abstract: An embodiment of the present invention is directed to an optimal event-driven anomaly detection scheme. The present invention recognizes that anomaly detection based solely on rules-based (deterministic) or probabilistic analysis alone are insufficient to capture and respond to ever evolving, highly sophisticated threats that tend to persist within a system undetected for long periods of time. According to an embodiment of the present invention, a tiered detection scheme composed of behavioral analysis and machine-learned probabilistic system behaviors provides an optimal level of sensitivity to detect and respond to threats, and further limits the number of false positives identified.

Abstract: According to an embodiment of the present invention, a computer implemented method and system for automated test and retesting in a virtual test environment, comprises: an input interface, comprising at least one processor, configured to receive one or more commands from a user, wherein the one or more commands comprise at least one test procedure and at least one system version parameter; a test and retest engine, comprising at least one processor, configured to execute the one or more commands on at least one system under test on a virtual environment based at least in part on the at least one system version parameter; and an output interface, comprising at least one processor, configured to receive results data responsive to execution of the one or more commands and further configured to display the results to the user.

Abstract: According to an embodiment of the present invention, a computer implemented system that automates development, maintenance and execution of procedures to autonomously interact with one or more external devices, comprises: an input configured to receive interaction data and to detect state data from an external computer system, the user interaction data comprising GUI data; a memory component configured to store the interaction data, the state data and relationship data between objects, events and resultant states where an event represents an interaction with the external computer system and where a resultant state represents a state resulting from an interaction; a semantic processor configured to interpret the interaction data into semantic objects and develop a system model, using a learning algorithm, based on the semantic objects, the state data and the relationship data; and an execution processor configured to execute tasks and roles accounting for environmental perturbations and system randomness.

Abstract: According to an embodiment of the present invention, a computer implemented method and system for automated test and retesting using an interactive interface provided by a computer processor comprising: an input configured to receive a set of rules for a virtual user, the set of rules comprising a plurality of conditional statements for the virtual user; a memory component configured to store the set of rules; and a rules engine, comprising at least one processor, configured to generate a plurality of test flows based on the set of rules wherein the test flow tool provides modeling capability through an interface comprising a canvas configured to manage one or more rules and a palette that contains a collection of modeling components; and further configured to automatically execute the plurality of test flows on a system under test.

Abstract: According to an embodiment of the present invention, a computer implemented system and system for capturing an image for automated test and retesting using an image capture function provided by a computer processor comprises: a capture tool, comprising at least one processor, configured to capture a screen image, a click position and user interaction; an image processing module, comprising at least one processor, configured to receive the screen image and generate a sub-image based at least in part on the click position; and a display module, comprising at least one processor, configured to display the sub-image and the user interaction to the user for generating at least one automated test step.