International Business Machines Corporation

Keith Jeremy Posner

David Griffin

Matthew Richard James Thornhill

Luke Taher

Prioritized flow testing and incident handling includes tracking computerized interactions of users interacting with system(s), identifying user flows, each being a sequence of one or more of the tracked computerized interactions, determining a collection of user flows of the user flows, each being associated with a measured beneficial impact, assigning impact metrics to the collection of user flows, each being assigned an impact metric commensurate with the measured beneficial impact associated with that user flow, and based on the assigned impact metrics, selecting synthetic tests of common flows represented by the collection of user flows and a prioritization of the synthetic tests, each synthetic test simulating a sequence of user interactions to progress through a common flow of the common flows.

Prioritized flow testing and incident handling

There is provided a method, apparatus and computer program product for analysing policies executed in a computer system which comprises a plurality of entities. The system is operable to detect one or more policies within a set of policies that have executed a predetermined number of times within a time window; identify a plurality of co-occurring, and thereby related, policies based on the detecting; and group the identified co-occurring policies.

Analyzing policies executed in a computer system

A computer-implemented method for generation of dashboard templates for operations management is disclosed. The computer-implemented method includes monitoring a user interactions with an editable dashboard user interface when handling issue instances to gather chart selections, wherein a chart is a graphical visualization of one or more parameters of a data source. The computer-implemented method further includes identifying an issue type to chart pairs from the gathered chart selections and, for each pair, generalizing the one or more data source parameters. The computer-implemented method further includes identifying from the gathered chart selections common associations between the issue type and a chart visualization type. The computer-implemented method further includes storing dashboard information for an issue type including one or more likely chart visualization types for one or more generalized data source parameters, wherein the dashboard information is available to generate a dashboard template for a new issue instance of the issue type.

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London, United Kingdom

Keith Jeremy Posner