Abstract: A tool for computational generation of organizational mentoring relationships. The tool determines a mentor pool and a mentee pool based, at least in part, on per-person domain metric data for each person in a general pool. The tool determines a plurality of per-metric ranked mentor lists for each of the one or more mentees in the mentee pool. The tool determines a per-mentee fused rank list for each of the one or more mentees in the mentee pool. The tool determines, based, at least in part, on the per-mentee fused rank list for each of the one or more mentees in the mentee pool, one or more cross-organizational mentorship assignments. The tool establishes, based, at least in part, on the one or more cross-organizational mentorship assignments, at least one mentor-mentee relationship for each of the one or more mentees in the mentee pool.

Abstract: Analyzing task associations may compute artifact associations for a plurality of artifacts based on historical task submission logs. From the computed artifact associations, shared artifacts that have artifact association with targeted artifacts that are associated with planned tasks, may be determined. Task association between the planned tasks may be identified based on the shared artifacts. Task associations may be analyzed to determine one or more of task assignment and task schedule for the planned tasks.

Abstract: A method for analyzing a virtual discussion. The method may include identifying, with a processing device, a first concept relevant to a first subdiscussion associated with an online discussion. The method may also include identifying a second concept relevant to the first subdiscussion, and determining a relation between the first concept and the second concept.

Abstract: Techniques are provided for automatically creating and using a transform to generate a document in a target format. The techniques include obtaining a source document, wherein the source document is in a structured format and wherein the source document comprises structured information from a domain-specific representation, creating a transform, wherein creating the transform comprises creating a specially-tagged version of the source document in the structured format, using a target application to create an output document in a target format with one or more corresponding tags, and applying an algorithm to automatically generate a transform, and using the transform to generate a version of the source document in a target format. Techniques are also provided for generating a database of one or more transforms.

Abstract: Disclosed is a novel system and method to select software components. A set of available software components are accessed. Next, one or more dimensions are defined. Each dimension is an attribute to the set of available software components. A set of coherence distances between each pair of the available software components in the set of available software components is calculated for each of the dimensions that have been defined. Each of the coherence distances are combined between each pair of the available software components that has been calculated in the set of the coherence distances into an overall coherence degree for each of the available software components. Using the overall coherence degree, one or more software components are selected to be included in a software bundle.

Abstract: A method for analyzing a virtual discussion may include identifying, with a processing device, a first concept relevant to a first subdiscussion associated with an online discussion, identifying a second concept relevant to the first subdiscussion, and determining a relation between the first concept and the second concept.

Abstract: A method for systematically determining a pricing strategy based on one or more of a business insight, a price perception model and a surprise model.

Abstract: A real-time monitoring sub-system may monitor resources, work requests, and work progress in an on-going manner in information technology global service delivery provisioning. An integrated management and planning subsystem may simultaneously operate on a plurality of timescales to optimize a service delivery objective under a constraint of schedule risk. The integrated management and planning subsystem may continuously update a work plan based on solving in the on-going manner, the optimized service delivery objective using the monitored resources, work requests and work progress.

Abstract: An apparatus comprises a decoder and an actuator. The decoder is configured to receive a signal comprising a target olfactory pleasantness, to determine one or more combinations of odors which produce the target olfactory pleasantness, and to select a given one of the combinations of odors. The actuator is coupled to the decoder and configured to utilize the given combination of odors to produce an odor with the target olfactory pleasantness.

Abstract: An apparatus comprises a decoder and an actuator. The decoder is configured to receive a signal comprising a target olfactory pleasantness, to determine one or more combinations of odors which produce the target olfactory pleasantness, and to select a given one of the combinations of odors. The actuator is coupled to the decoder and configured to utilize the given combination of odors to produce an odor with the target olfactory pleasantness.

Abstract: A real-time monitoring sub-system may monitor resources, work requests, and work progress in an on-going manner in information technology global service delivery provisioning. An integrated management and planning subsystem may simultaneously operate on a plurality of timescales to optimize a service delivery objective under a constraint of schedule risk. The integrated management and planning subsystem may continuously update a work plan based on solving in the on-going manner, the optimized service delivery objective using the monitored resources, work requests and work progress.

Abstract: Improving global service delivery by augmenting with social network analysis, may comprise identifying social network metrics and key performance indicator metrics; collecting data associated with the social network metrics and the key performance indicator metrics, from on-going work performed in the global service delivery and a social network of practitioners; transforming the data into measurable metric data; determining whether a deviation exists in the measurable metric data; and generating an actionable recommendation in response to determining that the deviation exists.

Abstract: Improving global service delivery by augmenting with social network analysis, may comprise identifying social network metrics and key performance indicator metrics; collecting data associated with the social network metrics and the key performance indicator metrics, from on-going work performed in the global service delivery and a social network of practitioners; transforming the data into measurable metric data; determining whether a deviation exists in the measurable metric data; and generating an actionable recommendation in response to determining that the deviation exists.

Abstract: Accommodating schedule variance in work, in one aspect, may comprise tracking information associated with work packets; identifying one or more work packets deviating from a planned schedule based on the tracking; identifying one or more features associated with the identified one or more work packets; computing metrics associated with the one or more features; prioritizing the identified one or more work packets based on the computed metrics using a predictive model, the predictive model calibrated at least based on historical data; and recommending one or more actions to take associated with the one or more prioritized work packets.

Abstract: Accommodating schedule variance in work, in one aspect, may comprise tracking information associated with work packets; identifying one or more work packets deviating from a planned schedule based on the tracking; identifying one or more features associated with the identified one or more work packets; computing metrics associated with the one or more features; prioritizing the identified one or more work packets based on the computed metrics using a predictive model, the predictive model calibrated at least based on historical data; and recommending one or more actions to take associated with the one or more prioritized work packets.

Abstract: Disclosed is a novel system and method to select software components. A set of available software components are accessed. Next, one or more dimensions are defined. Each dimension is an attribute to the set of available software components. A set of coherence distances between each pair of the available software components in the set of available software components is calculated for each of the dimensions that have been defined. Each of the coherence distances are combined between each pair of the available software components that has been calculated in the set of the coherence distances into an overall coherence degree for each of the available software components. Using the overall coherence degree, one or more software components are selected to be included in a software bundle.

Abstract: A computer implemented method, system and/or computer program product schedules execution of work requests through work plan prioritization. One or more work packets are mapped to and assigned to each work request from a group of work requests. A complexity level is derived for and assigned to each work packet, and priority levels of various work requests are determined for each entity from a group of entities. A global priority for the group of work requests is then determined. The global priority and the complexity levels combine to create a priority function, which is used to schedule execution of the work requests.

Abstract: Techniques are provided for service-oriented (SOA) process decomposition and service modeling. In one aspect of the invention, the techniques include identifying meta-data entities, attributes of the meta-data entities and relationships between stereotypes of the meta-data model, managing the meta-data model for creating, modifying and removing modeling artifacts, and creating modeling templates from the meta-data model to facilitate addressing at least one need of industry-specific applications. In another aspect the invention, the techniques include packaging the method for SOA process decomposition and service modeling, facilitating lifecycle management of modeling assets, and facilitating maintenance of the modeling assets.

Abstract: A method, system, and/or computer-readable medium analyzes problems in a software factory. Factory metrics that describe resources and operations within the software factory are collected and analyzed to detect problems that might have occurred during an execution of a work packet within the software factory. If the detected problems exceed one or more threshold criteria, then a detailed analysis of the detected problems is performed by matching each detected problem to one or more specific root causes through an analysis of the factory process building blocks.

Abstract: A method, system, and computer-readable medium for determining competence levels of factory teams are presented. In a preferred embodiment, the method includes the steps of: creating a template for an initial work packet, wherein the initial work packet is a self-contained work unit that is assembled within the software factory; creating a partially instantiated work packet by populating the template with details that describe pre-conditions and post-conditions necessary to execute the work packet; provisionally selecting a human team to complete coding of the partially instantiated work packet to create a final work packet; determining whether the human team is competent to create the final work packet; and in response to determining that the human team is competent to create the final work packet, ordering the human team to create the final work packet within the software factory.