International Business Machines Corporation

Gareth James Hugh Morgan

John Jesse Wood

Michael P Kirwan

Zachary Charles Beckett Pywell

Kristian Memarzia

Pierre Pook

A method, system, and computer program product for automated testing of Internet of Things devices are provided. The method generates a device table for a set of devices. The device table includes a set of inputs and a set of controllable outputs for each device. A set of input signals are detected for a device for a subset of inputs associated with the device. The set of input signals are detected from one or more controllable outputs of a subset of devices. The device table is modified based on the set of input signals and the one or more controllable outputs to generate an association table representing a relation of the subset of inputs with the one or more controllable outputs. The method detects a fault in one or more device of the set of devices based on a test input signal and the association table.

Automated internet of things device testing including modifying a device table to generate an association table

Provided are techniques for generating highlight queries. Data is analyzed using one or more schemas to identify patterns and frequencies of the patterns in the data. The patterns and the frequencies of the patterns are stored in a global patterns structure. A graph is analyzed to identify one or more of the patterns in the global patterns structure that are present in the graph and in which frequencies. The identified one or more of the patterns in the global patterns structure that are present in the graph are added to a per-user patterns structure with the frequencies of those patterns. The patterns in the per-user patterns structure are scored. A subset of the patterns in the per-user patterns structure that have scores above a threshold are selected as highlight queries. The selected subset of the patterns are executed as highlight queries to generate results, and the results are returned.

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Loughton, United Kingdom

Gareth James Hugh Morgan