Abstract: A method for selecting a virtual machine (VM) for problem determination utilizes a policy-based process for receiving an authorized program analysis report (APAR) containing problem type, a client information handling system (IHS) environment, a configuration, and a program version. The method determines automatically that the problem according to a provisioning policy is a candidate for provisioning a VM for analyzing the problem and searches a provisioning database for an existing VM for a system environment and configuration according to a closeness criteria. The method applies required updates to the provisioned VM, and utilizes the provisioned VM with the required updates for problem analysis. The method also may automatically create a new baseline image in the database according to expected value policy criteria that exceeds predetermined criteria.

Abstract: A method for selecting a virtual machine (VM) for problem determination utilizes a policy-based process for receiving an authorized program analysis report (APAR) containing problem type, a client information handling system (IHS) environment, a configuration, and a program version. The method determines automatically that the problem according to a provisioning policy is a candidate for provisioning a VM for analyzing the problem and searches a provisioning database for an existing VM for a system environment and configuration according to a closeness criteria. The method applies required updates to the provisioned VM, and utilizes the provisioned VM with the required updates for problem analysis. The method also may automatically create a new baseline image in the database according to expected value policy criteria that exceeds predetermined criteria.

Abstract: Accessing a problem report data store including customer problem reports. Each customer problem report includes configuration and platform data. Calculating a number of instances each platform is stored, and identifying platforms that satisfy a platform threshold. Calculating a number of instances each configuration is stored, and identifying configurations that satisfy a configuration threshold. Calculating a number of instances each platform is associated with each configuration, and generating a data structure with a plurality of nodes and edges. Each of the nodes identifies one of the platforms and configurations. The weight of the edge connecting a platform to a configuration indicates a number of instances that the platform is associated with the configuration in the data store. Identifying a weighted edge that satisfies a weight threshold, where the weighted edge connects a first platform to a first configuration and, in response, generating a test case for development of a software product.

Abstract: A method for selecting a virtual machine (VM) for problem determination utilizes a policy-based process for receiving an authorized program analysis report (APAR) containing problem type, a client information handling system (IHS) environment, a configuration, and a program version. The method determines automatically that the problem according to a provisioning policy is a candidate for provisioning a VM for analyzing the problem and searches a provisioning database for an existing VM for a system environment and configuration according to a closeness criteria. The method applies required updates to the provisioned VM, and utilizes the provisioned VM with the required updates for problem analysis. The method also may automatically create a new baseline image in the database according to expected value policy criteria that exceeds predetermined criteria.

Abstract: A method for selecting a virtual machine (VM) for problem determination utilizes a policy-based process for receiving an authorized program analysis report (APAR) containing problem type, a client information handling system (IHS) environment, a configuration, and a program version. The method determines automatically that the problem according to a provisioning policy is a candidate for provisioning a VM for analyzing the problem and searches a provisioning database for an existing VM for a system environment and configuration according to a closeness criteria. The method applies required updates to the provisioned VM, and utilizes the provisioned VM with the required updates for problem analysis. The method also may automatically create a new baseline image in the database according to expected value policy criteria that exceeds predetermined criteria.

Abstract: Accessing a problem report data store including customer problem reports. Each customer problem report includes configuration and platform data. Calculating a number of instances each platform is stored, and identifying platforms that satisfy a platform threshold. Calculating a number of instances each configuration is stored, and identifying configurations that satisfy a configuration threshold. Calculating a number of instances each platform is associated with each configuration, and generating a data structure with a plurality of nodes and edges. Each of the nodes identifies one of the platforms and configurations. The weight of the edge connecting a platform to a configuration indicates a number of instances that the platform is associated with the configuration in the data store. Identifying a weighted edge that satisfies a weight threshold, where the weighted edge connects a first platform to a first configuration and, in response, generating a test case for development of a software product.

Abstract: Enabling active host content related actions on a client device can begin with a client device receiving guest screen data and optionally host screen metadata from a server. The content of the guest screen data can be presented on the client device. A passive element corresponding to each active element of the server host screen can be identified. The active element of the server host screen can be selectable by the presenter and, upon selection (active event), can launch an active action on the server. The passive element of the client guest screen can have a defined selectable overlay hot spot. A hot spot can be can be associated with a hot spot action at the client. The hot spot action taken by the client, upon a hot spot event, can correspond to the active action taken by the server.