Abstract: Techniques for performing root cause analysis in dynamic software testing via probabilistic modeling are provided. In one example, a computer-implemented method comprises initializing, by a system operatively coupled to a processor, a threshold value, a defined probability value, and a counter value. The computer-implemented method also includes, in response to determining, by the system, that a probability value assigned to a candidate payload of one or more candidate payloads exceeds the defined probability value, and in response to determining, by the system, that the counter value exceeds the threshold value: determining, by the system, that a match exists between the candidate payload and an input point based on an application of the candidate payload to the input point resulting in a defined condition, wherein the one or more candidate payloads are represented by population data accessed by the system.

Abstract: A method for executing a query includes determining one or more nodes that are likely to have local content that matches a search query. The determination is based on a location profile for each of the one or more nodes and a conditional probabilistic model for each of a set of distinct locations. The search query is executed at the one or more nodes.

Abstract: A respective obfuscated performance metric can be received from each of a plurality of client devices. The respective obfuscated performance metrics can be aggregated and an average of the aggregated obfuscated performance metrics can be determined. The average of the obfuscated performance metrics can be communicated to at least a first of the plurality of client devices as representing an average of actual performance metrics.

Abstract: Methods and systems for targeted advertisement include transmitting a pre-filter to a user device, responsive to contextual information supplied by the user device to determine one or more inferences based on physical browsing information, collected at the user device, in compliance with one or more privacy policies of the user. One or more targeted advertisements are determined, using a processor, based on the one or more inferences. The one or more targeted advertisements are transmitted to the user device.