Abstract:
Three methods for converting sketch shapes into semantic elements by way of a semantic editor are disclosed. First, a method for conversion of a sketch shape that is part of a nested shape combination, which includes a sketch shape either hosting or nested within a semantic element. Second, a method for conversion of sketch shapes to semantic elements by storing sketch shape names and sketch shape descriptions in correlation with specific semantic elements and properties. The stored correlation is referenced for subsequent sketch shapes names or descriptions that are the same or a subset of the stored sketch shape name or description. Third, a method of conversion of one or more sketch shapes into a semantic template containing a plurality of semantic elements. Each of the one or more sketch shapes is mapped to a specific semantic element within the semantic template.
Abstract:
A widget adjustment event can be detected for a widget that is part of a model that is presented on a canvas of a user interface. On-canvas objects proximate to the widget can be adjusted. The on-canvas objects can include other widgets. The adjustments can be performed relative to a layout position of the widget after the widget adjustment event has occurred. Additional on-canvas objects further from the widget can the adjusted on-canvas objects can then be adjusted as necessary due to new positions of the adjusted on-canvas objects.
Abstract:
Embodiments of the present invention provide a method, system and computer program product for model driven deployment of component based applications. In an embodiment of the invention, a method for model driven deployment of component based applications can include selecting units representative of corresponding programmatic objects to be deployed into a target environment and specifying a deployment topology for the target environment. The method also can include matching portions of the units to different automation signatures and filtering the different automation signatures to a set of automation signatures based upon the deployment topology. The set of automation signatures can be ordered according to known dependencies of a corresponding deployment model and the ordered set of automation signatures can be bundled into an automation workflow and published to an automation engine for execution to deploy the programmatic objects into the target environment.
Abstract:
A system for managing advisories for complex model nodes that can include a complex model, a graphical modeling application, and an advisory manager. The complex model can be configured to graphically represent a user-defined system as multiple nodes and relationships. The graphical modeling application can be configured to execute operations upon the complex model. The graphical modeling application can store data defining the graphical characteristics of the complex model as a notation model and data defining the semantic characteristics of the complex model as a semantic model. The notation model and the semantic model can be stored as separate data entities. The advisory manager can be configured to aggregate notifications and potential resolutions for the nodes of the complex model. The notifications and potential resolutions can be visually presented within the graphical modeling application.
Abstract:
A model simplification tool can receive a command to simplify the presentation of a visually complex semantic model from a graphical modeling application. The visually complex semantic model can be comprised of a multitude of object representations and their associations, such that the usability of the model is impaired. An association status can be determined for each object representation, which can designate the object representation as autonomous, containment, or subordinate. The presentation of the visually complex semantic model can be consolidated based on the association status of object representations. Subordinate objects can be nested within containment objects to produce a simplified semantic model. The simplified semantic model can be rendered within the graphical modeling application.
Abstract:
A system for managing advisories for complex model nodes that can include a complex model, a graphical modeling application, and an advisory manager. The complex model can be configured to graphically represent a user-defined system as multiple nodes and relationships. The graphical modeling application can be configured to execute operations upon the complex model. The graphical modeling application can store data defining the graphical characteristics of the complex model as a notation model and data defining the semantic characteristics of the complex model as a semantic model. The notation model and the semantic model can be stored as separate data entities. The advisory manager can be configured to aggregate notifications and potential resolutions for the nodes of the complex model. The notifications and potential resolutions can be visually presented within the graphical modeling application.
Abstract:
A deployment modeling platform enables a user to model application characteristics of target software and to associate application modeling parameters to the modeled application characteristics. A user may also model environment characteristics of a target deployment environment and to associate environment modeling parameters to the modeled deployment environment characteristics. Still further, a user may create a deployment model that associates and maps selected parameters of the modeled application characteristics of the target software to associated parameters of the modeled environment characteristics of the deployment environment, and to verify that each parameter that relates to a requirement is mapped to and is fulfilled by an associated parameter that relates to a corresponding capability to determine whether validation problems exist in order to deploy the target software in the associated deployment environment.
Abstract:
A deployment modeling platform enables a user to model application characteristics of target software and to associate application modeling parameters to the modeled application characteristics. A user may also model environment characteristics of a target deployment environment and to associate environment modeling parameters to the modeled deployment environment characteristics. Still further, a user may create a deployment model that associates and maps selected parameters of the modeled application characteristics of the target software to associated parameters of the modeled environment characteristics of the deployment environment, and to verify that each parameter that relates to a requirement is mapped to and is fulfilled by an associated parameter that relates to a corresponding capability to determine whether validation problems exist in order to deploy the target software in the associated deployment environment.
Abstract:
A knowledge Management (KM) tool that allows persons in an organization to more rapidly locate the people and information they need to answer their questions. Identification and visualization of information aggregate founders, including category creators, helps in locating expertise, and additionally helps to reveal and magnify hidden knowledge dynamics within the organization.
Abstract:
A widget adjustment event can be detected for a widget that is part of a model that is presented on a canvas of a user interface. On-canvas objects proximate to the widget can be adjusted. The on-canvas objects can include other widgets. The adjustments can be performed relative to a layout position of the widget after the widget adjustment event has occurred. Additional on-canvas objects further from the widget can the adjusted on-canvas objects can then be adjusted as necessary due to new positions of the adjusted on-canvas objects.