Abstract: A computer system, a computer-readable non-transitory medium, and/or a computer-implemented method generates analytics applicable to data of an undetermined structure and type. A processor device receives data formatted in an undetermined structure. The processor device discovers, in a cross filter model processor, dynamically in response to receiving the data in the undetermined structure, a structure and a data type of the data which was received in the undetermined structure. The processor device determines, in response to the structure and the data type of the data discovered by the cross filter model processor, which of a plurality of analytic queries are applicable to the data.

Abstract: A computer system includes a display interface; a user input device interface; and a processor cooperatively operable with the display and user input device interfaces. The processor provides a browser user interface that interacts with a user to selectively indicate (i) content fields displayed in the source user interface from which information is to be sent and (ii) content fields displayed in the destination user interface which are to receive the information from the source content fields. The computer system stores an indication of the destination app registered for the topic together with an indication of the selected destination content fields which are to receive the information from the selected content fields of the source app. The source app and destination app do not publish/subscribe to each other. An intermediary brokers messages from the source app, maps the data, and sends on to the destination app.

Abstract: A common dashboard framework includes dashboard configuration data that specifies a configuration of dashboard content and a user interface configuration for a mashup dashboard. The dashboard content and the user interface configuration control visual and behavioral characteristics of the mashup dashboard that are independent of mashup data, and that are controlled to provide a same look and feel for different mashups. Different dashboard configuration data provides a different look and feel for the different mashups. The dashboard module data specifies whether the mashup dashboard is associated with a group of mashup dashboards. If so, the mashup dashboard further reflects the pre-defined group of mashup dashboards. The apparatus assembles the mashup dashboard based on the dashboard configuration data, the dashboard module data, and a workspace for the mashup data.

Abstract: A computer system, a computer-readable non-transitory medium, and/or a computer-implemented method generates analytics applicable to data of an undetermined structure and type. A processor device receives data formatted in an undetermined structure. The processor device discovers, in a cross filter model processor, dynamically in response to receiving the data in the undetermined structure, a structure and a data type of the data which was received in the undetermined structure. The processor device determines, in response to the structure and the data type of the data discovered by the cross filter model processor, which of a plurality of analytic queries are applicable to the data.

Abstract: A system, computer-readable medium, and computer-implemented method for using a mashup dashboard can include retrieving a mashup dashboard from a repository, and providing a display of the retrieved mashup dashboard that recreates a visual configuration pre-defined in the stored mashup dashboard. The visual configuration includes a pre-defined mashup executing therein to provide live data from the mashup. The mashup dashboard can be created, by providing a listing of pre-defined mashups and a canvas, the pre-defined mashups being stored in a repository; interacting with the user to define a visual configuration of the canvas and to drag and drop one of the pre-defined mashups from the listing onto the canvas; and storing the visual configuration of the canvas with the pre-defined mashup as a mashup dashboard, for later retrieval to recreate the visual configuration with the pre-defined mashup executing therein.

Abstract: A computer system includes a mashup section that provides a mashup that performs an action on a resource. An attribute identification section identifies an attribute of a user running the mashup. An access control section provides access control. The mashup is associated to a permission artifact. The permission artifact specifies a principal and whether to permit the principal to take the action on the resource. The access control is triggered only when the mashup attempts to perform the action on the resource, and checks whether the attribute of the user running the mashup is predefined as belonging to the principal specified in the permission artifact associated to the mashup, and then permits the action on the resource only when the attribute belongs to the principal. Plural users with the same attribute belong to the principal when the same attribute is defined as belonging to the principal.

Abstract: A method for analyzing a target system, that includes obtaining a plurality of characteristics from the target system using a characteristics extractor, wherein the plurality of characteristics is defined in a characteristics model and each of the plurality of characteristics is associated with one of a plurality of artifacts defined in the characteristics model, storing each of the plurality of characteristics in a characteristics store, and analyzing the target system by issuing a query to the characteristics store to obtain an analysis result, wherein the query is used to determine the presence of a first pattern in the target system.

Abstract: A method for analyzing a target system that includes obtaining a plurality of characteristics from the target system using a characteristics extractor, wherein the plurality of characteristics is associated with a characteristics model, storing each of the plurality of characteristics in a characteristics store using a tracking mechanism, and analyzing the target system by issuing a query to the characteristics store to obtain an analysis result, wherein the query uses tracking information associated with the tracking mechanism.

Abstract: A method for analyzing a target system that includes obtaining a characteristics model, generating at least one selected from the group consisting of a schema, characteristics store API, and a characteristics extractor, using the characteristics model, obtaining a plurality of characteristics from the target system using characteristics extractor, wherein each of the plurality of characteristics is associated with the characteristics model, storing each of the plurality of characteristics in the characteristics store using the schema, and analyzing the target system by issuing at least one query to the characteristics store to obtain an analysis result.

Abstract: A method for analyzing a target system that includes obtaining a characteristics model, loading the characteristics model into a meta model, obtaining a plurality of characteristics from the target system using a characteristics extractor, wherein each of the plurality of characteristics is associated with the characteristics model, storing each of the plurality of characteristics obtained from the target system in a characteristics store, and analyzing the target system by issuing at least one query to the characteristics store to obtain an analysis result, wherein the issuing the at least one query comprises verifying the at least one query using the meta model.

Abstract: A method for analyzing a target system that includes obtaining a plurality of characteristics from the target system using a characteristics extractor, wherein the plurality of characteristics is associated with a characteristics model, storing each of the plurality of characteristics in a characteristics store, and analyzing the target system by issuing at least one query to the characteristics store to obtain an analysis result.

Abstract: The present invention provides a method and apparatus for developing enterprise applications using design patterns. Over time, different types of enterprise applications have been developed and implemented by various software developers for different purposes. The present invention determines the purpose of the software that is needed by the developer and obtains a design pattern to solve the problem that is in accord with the best practices and patterns derived from these implementations. In turn a developer can rely on the present invention as a tool to develop and implement applications in a three-tier or multi-tier computer architecture.

Abstract: The present invention provides a method and apparatus for developing enterprise applications using design patterns. Over time, different types of enterprise applications have been developed and implemented by various software developers for different purposes. The present invention determines the purpose of the software that is needed by the developer and obtains a design pattern to solve the problem that is in accord with the best practices and patterns derived from these implementations. In turn a developer can rely on the present invention as a tool to develop and implement applications in a three-tier or multi-tier computer architecture.