Abstract: One embodiment provides a method, including: receiving a natural language query; selecting a disambiguation state model representing conversational dialog history, wherein the disambiguation state model comprises a plurality of nodes representing an entity, and a plurality of edges representing a path between two of the plurality of nodes, each of the plurality of edges including an assigned weight; traversing, the disambiguation state model using the natural language query to select a path to one of the plurality of nodes and providing the user the entity associated with the one of the plurality of nodes and iteratively selecting paths and nodes based upon input received from the user until a final node of the disambiguation state model is reached; providing a response to the natural language query based upon the entity of the final node; and updating the disambiguation state model based upon the traversed paths and nodes.

Abstract: A mobile application update manager functioning on a user device defers a new update for a mobile application for a first time period. The mobile application update manager predicts a time and size of a next update for the mobile application, a set of changes associated with the new update, and a relevancy of the set of changes to a user of the user device. The mobile application update manager recommends if the new update should be implemented or if the user should defer until a next update is available for the mobile application.

Abstract: One embodiment provides a method, including: receiving input of a learning session that is being conducted by an educator, being provided to at least one user, and being related to a subject; determining, using a knowledge base, that at least one topic relevant to the subject of the learning session is incomplete, wherein the determining comprises building a knowledge subgraph of the learning session and comparing the built knowledge subgraph to at least a portion of the knowledge base; generating at least one question to be asked of the educator relevant to the at least one incomplete topic; identifying, using at least one natural language text classifier model, a location within the learning session to ask the generated at least one question; and providing, to the educator, an output corresponding to the at least one question at the identified location within the learning session.

Abstract: One embodiment provides a method, including: utilizing at least one processor to execute computer code that performs the steps of: using an electronic device to engage in an interactive session between a user and a virtual assistant; receiving, at the electronic device, audio input from the user, wherein the audio input comprises a problem-solving query corresponding to a request by the user for assistance in solving a problem related to at least one object; parsing the audio input to identify at least one annotated video file corresponding to the at least one object and the problem-solving query; determining a state of the object and a location in the at least one annotated video file corresponding to the state of the object; and providing, to the user and based on the location in the at least one annotated video file, instructional output related to the problem-solving query.

Abstract: Embodiments of the present invention provide a method, a computer program product, and a system for generating a haptic signal representing a fabric composition. Embodiments of the present invention can be used to generate a haptic signal that is based on a user selection. For example, embodiments of the present invention can combine characteristic signals corresponding to a plurality of textiles to generate the haptic signal for output to a haptic device. Embodiments of the present invention can be used to recommend similar fabric compositions based upon similarity between a characteristic signal of a fabric composition and the haptic signal.

Abstract: One embodiment provides a method, including: tracking behavior of a user when the user is providing input to a permission request of an application, wherein the permission request comprises at least one application permission requesting access for the application to information accessible by an information handling device; identifying at least one undesired application permission, wherein the identifying comprises detecting, based upon the behavior of the user, that the user is uncomfortable with the at least one undesired application permission; determining whether another similar application, having a permission set the user is comfortable with, is available, wherein the determining comprises searching for applications similar to the application and filtering the similar applications by removing applications having a permission similar to the undesired application permission; and providing a recommendation, if there is another similar application, to the user, wherein the recommendation comprises the anothe

Abstract: A mobile application update manager functioning on a user device defers a new update for a mobile application for a first time period. The mobile application update manager predicts a time and size of a next update for the mobile application, a set of changes associated with the new update, and a relevancy of the set of changes to a user of the user device. The mobile application update manager recommends if the new update should be implemented or if the user should defer until a next update is available for the mobile application.

Abstract: One embodiment provides a method, including: receiving a natural language query; selecting a disambiguation state model representing conversational dialogue history, wherein the disambiguation state model comprises a plurality of nodes representing an entity, and a plurality of edges representing a path between two of the plurality of nodes, each of the plurality of edges including an assigned weight; traversing, the disambiguation state model using the natural language query to select a path to one of the plurality of nodes and providing the user the entity associated with the one of the plurality of nodes and iteratively selecting paths and nodes based upon input received from the user until a final node of the disambiguation state model is reached; providing a response to the natural language query based upon the entity of the final node; and updating the disambiguation state model based upon the traversed paths and nodes.

Abstract: One embodiment provides a method, including: utilizing at least one processor to execute computer code that performs the steps of: tracking behavior of a user when the user is providing input to a permission request of an application, wherein the permission request comprises at least one application permission requesting access for the application to information accessible by an information handling device; identifying at least one undesired application permission, wherein the identifying comprises detecting, based upon the behavior of the user, that the user is uncomfortable with the at least one undesired application permission; determining whether another similar application, having a permission set the user is comfortable with, is available, wherein the determining comprises searching for applications similar to the application and filtering the similar applications by removing applications having a permission similar to the undesired application permission; and providing a recommendation, if there is ano

Abstract: Methods, systems and computer program products are disclosed for controlling generation of change notifications to the one or more users in a collaborative authoring environment. An automated mechanism is provided to detect the change performed in the artifact. The one or more users who performed changes in the past with the changed artifact are identified. One or more pre-defined parameters, such as contribution, ownership, recency, and longevity, may be used to compute relevancy of the changes made in the changed artifact to determine the qualifying one or more users to be notified. Notifications are generated and delivered to the one or more qualifying other users assessed on the one or more pre-defined parameters.

Abstract: One embodiment provides a method for generating a process learning graph and a document output from a recorded process for training a cognitive agent, the method comprising: utilizing at least one processor to execute computer code that performs the steps of: obtaining a recording of a process, wherein the recording comprises a demonstration of executing the process; generating, using the recording, the process learning graph, wherein the process learning graph identifies a process flow; generating, using the recording, the document output, wherein the document output comprises process screen transitions and process steps; and providing the process learning graph and the document output to the cognitive agent. Other aspects are described and claimed.

Abstract: One embodiment provides a method for generating description text for a desired application using a machine classifier trained using other applications, the method including: utilizing at least one processor to execute computer code that performs the steps of: obtaining description text and at least one application component for an application; identifying at least one application characteristic from the at least one application component; associating at least one word expression contained within the description text to at least one identified application characteristic; training the machine classifier, wherein the training comprises identifying similar application characteristics within the at least one application component and identifying, based upon the associating, a condition of the at least one application characteristic including the at least one word expression; obtaining at least one application component for the desired application; identifying, using the trained machine classifier, at least one app

Abstract: One embodiment provides a method for generating a process learning graph and a document output from a recorded process for training a cognitive agent, the method comprising: utilizing at least one processor to execute computer code that performs the steps of: obtaining a recording of a process, wherein the recording comprises a demonstration of executing the process; generating, using the recording, the process learning graph, wherein the process learning graph identifies a process flow; generating, using the recording, the document output, wherein the document output comprises process screen transitions and process steps; and providing the process learning graph and the document output to the cognitive agent. Other aspects are described and claimed.

Abstract: Methods and arrangements for providing human-language descriptors for computer code. An interface is used to input computer code, and a human-language descriptor is automatically associated with at least one code identifier in the computer program code, wherein the human-language descriptor is obtained to assist a user in determining a meaning of the at least one code identifier. The human-language descriptor is visually displayed along with the at least one code identifier. Other variants and embodiments are broadly contemplated herein.

Abstract: Methods and arrangements for testing a code portion. A contemplated method includes: providing a workspace, at a user interface, for testing a code portion; configuring the workspace to execute the code portion; analyzing the code portion to determine at least one defining aspect of the code portion; based on the determining of at least one defining aspect, determining one or more resources referenced in the code portion; and ensuring availability of the one or more resources referenced in the code portion. Other variants and embodiments are broadly contemplated herein.

Abstract: Methods, systems, and computer program products for preventing sharing of sensitive information through code repositories are provided herein. A method includes detecting one or more items of sensitive information in a check-in associated with a given user in a shared version management system; automatically refactoring the one or more items of sensitive information in the check-in by externalizing the one or more items of sensitive information as an encrypted file; and upon acceptance by the user of one or more changes to the check-in, automatically (i) decrypting the encrypted file using one or more code repository credentials associated with the given user, and (ii) incorporating the one or more items of sensitive information into the check-in.

Abstract: Methods and arrangements for testing a code portion. A contemplated method includes: providing a workspace, at a user interface, for testing a code portion; configuring the workspace to execute the code portion; analyzing the code portion to determine at least one defining aspect of the code portion; based on the determining of at least one defining aspect, determining one or more resources referenced in the code portion; and ensuring availability of the one or more resources referenced in the code portion. Other variants and embodiments are broadly contemplated herein.

Abstract: Methods, systems, and computer program products for preventing sharing of sensitive information through code repositories are provided herein. A method includes detecting one or more items of sensitive information in a check-in associated with a given user in a shared version management system; automatically refactoring the one or more items of sensitive information in the check-in by externalizing the one or more items of sensitive information as an encrypted file; and upon acceptance by the user of one or more changes to the check-in, automatically (i) decrypting the encrypted file using one or more code repository credentials associated with the given user, and (ii) incorporating the one or more items of sensitive information into the check-in.

Abstract: Methods and arrangements for employing a software model transform. A software model transform is accepted, and the transform is manipulated to obtain a transform representation. At least one functional path is explored with respect to the transform representation. A trace is conducted of at least one explored path, and an abstraction of the transform is produced via utilizing the trace, the abstraction comprising a simplified semantic view of the transform.

Abstract: Methods, systems and computer program products are disclosed for controlling generation of change notifications to the one or more users in a collaborative authoring environment. An automated mechanism is provided to detect the change performed in the artifact. The one or more users who performed changes in the past with the changed artifact are identified. One or more pre-defined parameters, such as contribution, ownership, recency, and longevity, may be used to compute relevancy of the changes made in the changed artifact to determine the qualifying one or more users to be notified. Notifications are generated and delivered to the one or more qualifying other users assessed on the one or more pre-defined parameters.