International Business Machines Corporation

Francis Xavier Reddington

William Anthony Brown

Richard William Muirhead

Naomi Meiko Mitsumori

Ronald D Finlayson

Martin Andrew Wolfe

Jarir Kamel Chaar

Thomas A Jobson, Jr

Neil Sahota

Daniel D Carr

Juan P Giraldo

Steven R Lang

Hari Rajagopal

Terri A Vines

Thomas Jobson

Computer implemented methods, apparatuses, and compute program products for modeling an enterprise are provided. Embodiments include providing to a user, by an enterprise modeling controller, a user interface comprising an icon carousel and a drop area interface for moving selected icons from the icon carousel. The icon carousel contains a plurality of icons, where each icon of the plurality of icons represents a particular solution component configuration. Embodiments also include for each icon within the drop area interface, identifying a corresponding solution component configuration and configuration data associated with the solution component configuration. Embodiments also include generating based on the configuration data associated with the identified solution component configurations one or more integration patterns indicating data processing relationships of the identified solution component configurations. Embodiments also include generating an enterprise model based on the identified solution component configurations and the one or more integration patterns.

Modeling an enterprise

Aspects of the present invention provide a solution for responding to a change in an environment of a computer system. In an embodiment, a set of triggered controlled event listener learners (T-CELLs) are deployed in the computer system. Each T-CELL of the set of T-CELLs is a self-contained, persistent software construct. Further, each T-CELL has the ability to communicate with the other T-CELLs in the computer system. These T-CELLs can, in response to detecting a change in the computer system, automatically create a new T-CELL to respond to the change.

Triggered controlled event listener learner

Enterprise Intelligence ('EI') management in an EI framework including: analyzing, by an assembly analysis engine, a plurality of EI assemblies, each EI assembly configured to carry out a business capability upon execution; choreographing, by an assembly engine, execution of one or more of the EI assemblies; and reporting, by the assembly engine to an EI administrator, information related to execution of the one or more of the EI assemblies.

Enterprise intelligence ('EI') management in an EI framework

Decomposing a process model in an Enterprise Intelligence ('EI') framework, including: receiving, by a process model decomposer, a process model for an EI assembly; identifying, by the process model decomposer in dependence upon an EI framework metamodel, component parts of the process model; and generating, in dependence upon the identified component parts, a taxonomy breakdown comprising a definition of a process classification.

Decomposing a process model in an enterprise intelligence ('EI') framework

Managing processes in an Enterprise Intelligence ('EI') assembly of an EI framework, including: for each executing EI assembly in the EI framework, in real time: tracking, by the process state transition manager, the present state of processes of each executing EI assembly; analyzing, by the process state transition manager, the present state; and storing, by the process state transition manager, results of the state analysis.

Managing processes in an enterprise intelligence ('EI') assembly of an EI framework

Methods, systems, and products are provided for workflow decision management. Embodiments include maintaining a device state history; identifying a plurality of device usage patterns in dependence upon the device state history; identifying a plurality of workflow scenarios in dependence upon the device usage patterns; determining a workflow administration capacity in dependence upon the plurality of workflow scenarios; identifying a plurality of workflows in dependence upon the workflow scenario; executing the plurality of workflows in dependence upon the workflow administration capacity.

Workflow decision management with workflow administration capacities

Methods, systems, and computer program products are provided for workflow decision management. Embodiments include maintaining a device state history; identifying a device usage pattern in dependence upon the device state history; and identifying a derived scenario in dependence upon the device usage pattern. The derived scenario has a tolerance. Embodiments also include identifying a workflow in dependence upon the derived scenario and executing the workflow in dependence upon the tolerance.

Workflow decision management with derived scenarios and workflow tolerances

A data storage method and system. The method includes defining, by a computing system, a meta-object, a schema based structured definition for the meta-object, and a taxonomy with configuration data. The computing system creates content associated with the taxonomy and associates topics of the content with a logical storage room representations. Reference coordinates associated with the logical storage room representations are associated with the taxonomy. The computing system generates updated configuration data that includes the reference coordinates and a uniform resource identifier associated with the content is generated. The computing system generates an account associated with the meta-object for a user. Metering charges for usage of the account and a report associated with the account and usage are generated.

Content storage mapping

A System to Maintain Balance of Factory Quality Attributes with Software Factory Operating Environment provides the means to determine if a deliverable will meet the needs of a client's project. The process includes the identification and measurement of different parameters of a software factory, including specified architectural features, and compares these parameters with the factory's strategic artifacts and client's critical project needs to qualify attributes within the software factory environment. This process provides a means to monitor and maintain an optimal balance of desirable quality attributes. Thus, quality attributes are analyzed before design time and before delivery of a software product, such that an analysis can be performed before any considerable amount of time and efforts have been spent on a project.

Monitoring and maintaining balance of factory quality attributes within a software factory environment

A method, system, and computer-readable medium for managing a work packet's life cycle, wherein the work packet is assembled in a software factory that creates custom software in a standardized manner, are presented. In one embodiment, the computer-implemented method comprises: defining a work packet to perform a sub-function of a custom software, wherein the work packet is a pre-stored, reusable, self-contained, discrete unit of software code; assembling the work packet; archiving the work packet in an asset repository; retrieving the work packet from the asset repository; and sending the work packet to an assembly line for consolidation with other work packets to create a custom software.

Life cycle of a work packet in a software factory

A computer-implemented method, system, and computer-readable medium for determining if a software factory is ready to take on a software project is presented. In a preferred embodiment, the computer-implemented method includes the steps of: determining if an infrastructure for a software factory has been procured; determining if operational software needed to assemble work packets in an assembly line in the software factory has been installed; determining if a workflow event model for an assembly line in the software factory has been configured; determining if workload in the assembly line has been balanced; determining if communication channels between the software factory and a customer's computer system have been defined and cleared for data transmission; and in response to determining that any element described above has been determined not to have occurred, prohibiting an induction of a software project into the software factory.

Software factory readiness review

Enterprise Intelligence ('EI') reporting in an EI framework, including: identifying, by an EI report generator, EI report criteria for inclusion in an EI report; extracting, by an EI report generator, EI report information that meets the EI report criteria from an EI data repository; assembling, by an EI report generator, the EI report information into an EI report; and presenting the EI report to an EI administrator.

Enterprise intelligence ('EI') reporting in an EI framework

A method, system, and computer-readable medium for predicatively selecting which work packets will be needed by a software factory to create a deliverable custom software are presented. In a preferred embodiment, the computer-implemented method includes: presenting an initial checklist that consists of a series of question groups; receiving answers to the initial checklist; in response to determining that received answers to the initial checklist indicate that a new series of questions is required to predict which work packets will be needed to create the deliverable custom software, dynamically generating a new checklist; evaluating leading indicators for the received answers; based on relevancy of answers and the leading indicators, eliminating irrelevant questions from the new checklist; and based on answers to remaining relevant questions, determining if a particular work packet will be needed to create the deliverable custom software in the software factory.

Growing community of inventors

Sarasota, FL, United States of America

Francis Xavier Reddington