International Business Machines Corporation

Hagop Amendjian

Manvendra Gupta

Stewart Jason Hyman

Leon H Cash, Jr

Michael R Marsonet

Terrence A Paul

Thomas S Bergman

An approach is provided for personalizing an error message for a user. Corrective actions performed by the user are monitored. The corrective actions include the user visiting online forums. The corrective actions cause a resolution of an instance of an error condition described in the error message and which specifies an error in an operation of a software application. Based on the monitored corrective actions, sources of information accessed by the user to resolve the error condition instance are determined. The sources include online forums visited by the user. After resolution of the error condition instance, another instance of the same error condition is detected, and in response, the error message is augmented with a summary of the sources including the online forums and/or hyperlinks that access the sources including the online forums. The augmented error message is presented to the user.

Personalizing error messages based on user behavior

An approach is provided for personalizing an error message for a user. A modified help system monitors interactions with the help system and includes instructions about error conditions. The instructions are in formats that match four learning styles indicating a preference for visual input, spoken verbal input, written verbal input, and a combination of visual and verbal input. Selections of content to resolve error conditions and types of interactions are recorded. Learning format, learning type, interactivity level, interactivity type, and semantic density of the selected content are determined. A learning style model is generated. Based on the model, the learning style of the user is determined to be one of the four learning styles. A predetermined error message describing a detected error condition is retrieved. The error message is augmented with an instruction in a format that matches the learning style of the user and is presented to the user.

Personalizing error messages based on user learning styles

A method and associated system automatically migrates a non-cloud service from a legacy non-cloud virtualized computing environment into a cloud-computing environment. These methods and systems enhance standard cloud-management systems with the introduction of independent infrastructure-discovery and application-discovery tools. By autonomously examining the legacy non-cloud environment, these tools can produce information describing characteristics of the legacy service in sufficient detail to enable the cloud-management system to generate and automatically insert an entry for the legacy service into the cloud-computing environment's service catalog. When a user of the cloud-computing environment subsequently requests the non-cloud service, the cloud-management platform may then use the new entry to provision the legacy service as though it had been a standard cloud service.

Migrating legacy non-cloud applications into a cloud-computing environment

A method and associated system of automatically generating an entry of a service catalog of a cloud-computing environment as a function of discovered attributes of a virtual machine provisioned in a non-cloud computing environment. A cloud-management platform of the cloud-computing environment analyzes and compares results of infrastructure-discovery and application-discovery tools that describe a business application or a virtual service provisioned on the virtual machine. The cloud-management platform, or a related service-catalog generating entity, uses these analyzed and compared results to automatically generate a service-catalog entry that represents or describes a cloud business application or service associated with the virtual machine, and enters the automatically generated entry into the service catalog. When a user of the cloud-computing environment requests the cloud business application or service, the cloud-management platform may then offer the business application or service as a function of the automatically generated entry.

Using discovered virtual-infrastructure attributes to automatically generate a service-catalog entry

Generating a service-catalog entry from discovered attributes of provisioned virtual machines

An approach is provided for personalizing an error message for a user. Corrective actions performed by the user are monitored. The corrective actions cause a resolution of an instance of a problem within a computer system. Based on the monitored corrective actions, sources of information accessed by the user to resolve the instance of the problem are determined. After resolution of the instance of the problem, another instance of the same problem is detected. In response to detecting the other instance of the problem, the error message is augmented with a summary of the sources of information and/or hyperlinks that access the sources of information. The augmented error message is presented to the user.

An approach is provided for personalizing an error message for a user. The usage of help content by the user to resolve error condition(s) is monitored. Attributes of the usage are determined. A learning style of the user is determined based on the attributes. An error condition is detected. The error message is augmented (i.e., personalized) with a communication and/or hyperlink that is compatible with the learning style of the user, and that is configured to assist the user with resolving the detected error condition. The augmented error message is presented to the user.

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Dollard-des-Ormeaux, Canada

Hagop Amendjian