International Business Machines Corporation

Alberto Giammaria

Christopher Andrew Peters

Thomas Spatzier

James Russell Boykin

Jeffrey Mark Achtermann

Patricia Diana Griffin

Robert L Orr

Brian Joseph Schlosser

Arabinda Bose

David Bruce Lindquist

Jeffrey Randell Dean

J Russell Boykin

Manish Satyapal Gupta

Larisa Shwartz

Hidayatullah Habeebullah Shaikh

David Michael Chess

Michael Elton Nidd

Karthik Sankaranarayanan

Shantanu Ravindra Godbole

John Conrad Sanchez

Jian Yin

Manish Sethi

Harshit Kumar

James Edwin Hanson

Pritam S Gundecha

Raghav Batta

Amar Prakash Azad

Karthikeyan Ponnalagu

Narendran Sachindran

Mark Wallace Johnson

Troy Allen Cranford

Shinta Dewi Arifin Tjio

In an approach to risk prediction for bug-introducing changes, a computer retrieves one or more historic pull requests. A computer determines a unique file linking for each file included in the historic pull requests. A computer generates a file risk dataset. A computer performs chronological partitioning on the file risk dataset. A computer determines bug-introducing changes in the file risk dataset. A computer computes a collaborative file association between two or more of the files in the file risk dataset. A computer labels each of the files in the file risk dataset with an associated risk of introducing a bug. A computer generates a labelled file risk inducing ground truth dataset. A computer inputs the labelled file risk inducing ground truth dataset to a file risk prediction model. A computer extracts pull request features from the historic pull requests. A computer generates a pull request risk prediction model.

Pull request risk prediction for bug-introducing changes

Extension patterns are deployed to core deployment patterns stored in a first software repository. An event relating to registration of a component is detected. In response to detecting the event, a tool registry can be queried to identify one or more extension deployment patterns for use with one or more core deployment patterns. Based upon the query, one or more extension deployment components can be retrieved from a second software repository. The one or more extension deployment components can be deployed on top of one or more instances of the one or more core deployment patterns.

Extensions for deployment patterns

Methods, systems, and computer program products for repeat execution of RCA logic through run-time discovered topology pattern maps are provided herein. A computer-implemented method includes determining one or more topology paths of configuration items from a collection of multiple views of a target system; identifying one or more patterns from the one or more topology paths of configuration items; comparing the one or more identified patterns against a collection of data comprising mappings between (i) multiple root cause analysis logical expressions and (ii) multiple system architecture patterns, thereby identifying one or more of the multiple root cause analysis logical expressions to be executed on the one or more topology paths of configuration items; and generating a user-accessible link via a uniform resource locator for direct invocation of the one or more identified multiple root cause analysis logical expressions executed on the one or more topology paths of configuration items.

Repeat execution of root cause analysis logic through run-time discovered topology pattern maps

A plug-in-based templatization framework for automating the creation of open virtualization framework (OVF) virtual appliance (VA) is provided. According to one embodiment, a framework is stored which comprises a plurality of product-specific add-ons. Each of the plurality of product-specific add-ons comprises a discovery element, an activation logic template element, an open virtualization package envelope template element. The plurality of product-specific add-ons are executed against a first virtual composite application instance while said the virtual composite application instance is executing in a first virtualization platform environment to automatically generate an open virtualization package template. A second virtual composite application instance is then deployed within a second virtualization platform environment utilizing the open virtualization package template.

Plug-in based templatization framework for automating the creation of open virtualization format virtual appliances

A method for applying remediation policy to a cloud application package having a set of components is described. The method is initiated in response to discovery of a new vulnerability. It begins by comparing information from a deployment description against a data set of known problems associated with the one or more of the components. The deployment description represents the set of components and their interrelationships. For each of the one or more components, one or more known problems that satisfy a given severity and/or complexity criteria are identified. Thereafter, and with respect to at least one of the components for which one known problem satisfying the given criteria has been identified, the remediation policy (e.g., an update, a replacement, a patch, an additional installable) is applied to attempt to rectify the known problem. After applying the policy, the old version of the package is replaced with the new version.

Remediation of known defects and vulnerabilities in cloud application packages

Methods, apparatus, and products for managing computer resources in a distributed computing system are disclosed that include registering, in a configuration management database by a discovery module in response to a modification of a resource in a resource container, the resource in association with a configuration management database identifier, the resource characterized by a resource type and a resource identification, the resource container including a manageability endpoint characterized by a manageability endpoint reference; and managing the resource by a management module in dependence upon a resource management policy and the manageability endpoint reference, the resource management policy including management actions for the resource.

Managing computer resources in a distributed computing system

A graphical user interface (GUI) in which a user may navigate through states of an information technology (IT) management process by selecting or deselecting the selectable objects in the GUI. When the user selects a first object in a first display window of the GUI, the first display window is changed to represent a first state of the IT management process based on the selected object, and the second display window is changed to show computing objects and relationships associated with the selected object. When the user selects another associated object in the first display window, the first display window is changed to represent a second state of the IT management process based on the selected object, and the and the second display window is changed to show computing objects and relationships associated with the selected object.

Step-wise, cumulative object and relationship aggregation in a graphical system management topology

A model-driven display for displaying metric annotations on a resource/relationship graph. Upon detecting selection of a set of computer resources in a system management graph, annotation options available to the selected set of computer resources are retrieved from an object model, wherein the object model defines computer resources in a data processing system and relationships among the computer resources, and wherein the annotation options represent resource metrics collected for the computer resources, A menu is created using the annotation options for the selected set of computer resources and displayed to a user in the graphical user interface. When selection of a set of annotation options in the menu is detected, the system management graph is updated to display annotations, corresponding to the selected set of annotation options, for the selected set or computer resources. The updated system management graph is then displayed to the user in the graphical user interface.

Model-driven display of metric annotations on a resource/relationship graph

A computer implemented method, data processing system, and computer usable program code are provided for creating a set of virtual machine image for software. A virtual software resource template is retrieved. Metadata associated with the virtual software resource template is copied and the copy of the metadata is modified to generate personalized metadata for each virtual machine image in the set of virtual machine images. Then, the set of virtual machine images is deployed using the personalized metadata.

Virtual resource templates

Growing community of inventors

Austin, TX, United States of America

Alberto Giammaria