Abstract: A method, system and computer program product for light-weight software license compliance management. One embodiment of the method comprises accessing a set of software logs from a target device, analyzing the set of software logs to generate a license violation probability score, determining the license violation probability score satisfies a predetermined threshold, and notifying a user of a need to scan the target device for software license compliance.

Abstract: At least one knowledge source for use in updating a first problem-solution data set can be selected. From data provided by the at least one knowledge source, a plurality of dialogs can be automatically generated. Existing dialogs in the first problem-solution data can be updated set using the plurality of dialogs that are generated.

Abstract: A computer-implemented method, computer system, and computer program product for measuring a quality of a chatbot response. The present invention may include receiving one or more classifications, receiving a set of questions in a chatbot to be analyzed, filtering any question from the received set of questions that is not related to an area of expertise of the chatbot, matching at least two questions from the received set of questions to each other, and applying at least one of the one or more classifications to the at least two matched questions. The one or more classifications may be based on a similarity of words and synonyms used in the at least two matched questions. The one or more classifications may be based on a similarity of intents of the at least two matched questions.

Abstract: A computer-implemented method for software detection is disclosed. The computer-implemented method includes scanning a list of file systems present on a computer system and described by a respective mount point for a signature from a set of predetermined signatures. The computer-implemented method further includes responsive to detecting the signature from the set of predetermined signatures, selecting a particular plugin from a predetermined list of plugins based, at least in part, on the detected signature. The computer-implemented method further includes querying, using the plug-in, an operating environment of the filesystem for data indicative of software running in the operating environment. The computer-implemented method further includes determining software running in the operating environment based, at least in part, on the data returned from querying the operating environment of the filesystem.

Abstract: A set of virtual machines is deployed on a hypervisor. At each virtual machine, one or more local scans is performed to generate a set of computing resource consumption data. In response to receiving a set of hypervisor resource consumption data, a stability factor is generated. Based on the set of resource consumption data, the set of hypervisor resource consumption data, and the stability factor, a determination is made that a default consumption metric exceeds a threshold. In response to the determination, a custom consumption metric is generated, based on at least the set of computing resource consumption data. A user is notified of the custom consumption metric.

Abstract: Support queries are automatically provided. An error is identified during execution of an application. A support query for the error is produced using the source code for the application with the support query including context information for the error. The support query is displayed to a user.

Abstract: In an approach to improve chatbot workspaces by updating chatbot workspaces through documentation updating and chatbot skill updating. Embodiments determine a chatbot knowledge base contains a set of updated information and updates a chatbot dialog decision tree based on one or more identified new topics in a set of updated information using natural language processing techniques to determine a set of intents, a set of entities, and a set of keywords. Further, embodiments identify a starting decision for traversing the chatbot dialogue decision tree based on the updated set of entities and the updated set of keywords. Additionally, embodiments interact, via a user interface, with an end user according to one or more interactions traversing the chatbot dialogue decision tree for a response.

Abstract: A method, computer program, and computer system are provided for improving accessibility to computer reader tools. Data corresponding to one or more words to be displayed to a user is received. The received data is converted into synthesized speech. One or more words exceeding an understanding threshold value are identified from the synthesized speech. The understanding threshold value corresponds to a probability of difficulty associated with understanding the one or more words. One or more replacement words are retrieved for the one or more words exceeding the understanding threshold value. The synthesized speech is updated with the one or more replacement words.

Abstract: A computer-implemented method for software detection is disclosed. The computer-implemented method includes scanning a list of file systems present on a computer system and described by a respective mount point for a signature from a set of predetermined signatures. The computer-implemented method further includes responsive to detecting the signature from the set of predetermined signatures, selecting a particular plugin from a predetermined list of plugins based, at least in part, on the detected signature. The computer-implemented method further includes querying, using the plug-in, an operating environment of the filesystem for data indicative of software running in the operating environment. The computer-implemented method further includes determining software running in the operating environment based, at least in part, on the data returned from querying the operating environment of the filesystem.

Abstract: Aspects of the present invention disclose a method, computer program product, and system for determining a response to a query from a user. The method includes one or more processors receiving a query associated with a software product. The query includes an indication of an error. The method further includes one or more processors determining whether a response to the query is available in an accessible knowledge base. In response to determining that a response to the query is not available, the method further includes one or more processors identifying content in program code of the software product that corresponds to the indicated error of the received query. The method further includes one or more processors determining a response to the query based on the identified content in the program code. The determined response to the query includes diagnostic information corresponding to the indicated error.

Abstract: Processing user queries using a bot program by executing a bot program, wherein executing the bot program further comprises: processing output data of an application program; detecting status messages in the output data; generating bot queries related to the status messages; providing the bot queries to a user, in response to the providing of the bot queries to the user, receiving a user query from the user, wherein the user query is based at least in part on the bot queries, determining one or more solutions to the user query using a knowledge base, and applying a selected solution of the solutions.

Abstract: Provided are techniques for collecting capacity data of virtual machines by leveraging agent data. A list of one or more virtual machines for which capacity data is to be retrieved is obtain from an asset server, where the one or more virtual machines are identified using a licensing measurement. Infrastructure data and hypervisor data are obtained from an infrastructure server. For each of the one or more virtual machines, the infrastructure data and the hypervisor data are used to request, from a capacity scanner on each of the one or more virtual machines, capacity data for that virtual machine. The capacity data for each of the one or more virtual machines is sent to the asset server, and the asset server performs load balancing of software that is to be executed on the one or more virtual machines using the capacity data.

Abstract: At least one knowledge source for use in updating a first problem-solution data set can be selected. From data provided by the at least one knowledge source, a plurality of dialogs can be automatically generated. Existing dialogs in the first problem-solution data can be updated set using the plurality of dialogs that are generated.

Abstract: Metadata can be generated for documentation accessed from at least one knowledge source. Intents for main topics of the documentation can be generated using content structure information for the documentation. Dialogs for the intents can be generated. Sub-dialogs can be created for each of the dialogs based, at least in part, on the metadata for the documentation. The dialogs can be configured to be used to modify existing dialogs of a problem-solution data set.

Abstract: Processing user queries using a bot program by executing a bot program, wherein executing the bot program further comprises: processing output data of an application program; detecting status messages in the output data; generating bot queries related to the status messages; providing the bot queries to a user, in response to the providing of the bot queries to the user, receiving a user query from the user, wherein the user query is based at least in part on the bot queries, determining one or more solutions to the user query using a knowledge base, and applying a selected solution of the solutions.

Abstract: In an approach to improve chatbot workspaces by updating chatbot workspaces through documentation updating and chatbot skill updating. Embodiments determine a chatbot knowledge base contains a set of updated information and updates a chatbot dialog decision tree based on one or more identified new topics in a set of updated information using natural language processing techniques to determine a set of intents, a set of entities, and a set of keywords. Further, embodiments identify a starting decision for traversing the chatbot dialogue decision tree based on the updated set of entities and the updated set of keywords. Additionally, embodiments interact, via a user interface, with an end user according to one or more interactions traversing the chatbot dialogue decision tree for a response.

Abstract: A computer-implemented method, computer system, and computer program product for measuring a quality of a chatbot response. The present invention may include receiving one or more classifications, receiving a set of questions in a chatbot to be analyzed, filtering any question from the received set of questions that is not related to an area of expertise of the chatbot, matching at least two questions from the received set of questions to each other, and applying at least one of the one or more classifications to the at least two matched questions. The one or more classifications may be based on a similarity of words and synonyms used in the at least two matched questions. The one or more classifications may be based on a similarity of intents of the at least two matched questions.

Abstract: A method, system and computer program product for light-weight software license compliance management. One embodiment of the method comprises accessing a set of software logs from a target device, analyzing the set of software logs to generate a license violation probability score, determining the license violation probability score satisfies a predetermined threshold, and notifying a user of a need to scan the target device for software license compliance.

Abstract: A set of virtual machines is deployed on a hypervisor. At each virtual machine, one or more local scans is performed to generate a set of computing resource consumption data. In response to receiving a set of hypervisor resource consumption data, a stability factor is generated. Based on the set of resource consumption data, the set of hypervisor resource consumption data, and the stability factor, a determination is made that a default consumption metric exceeds a threshold. In response to the determination, a custom consumption metric is generated, based on at least the set of computing resource consumption data. A user is notified of the custom consumption metric.

Abstract: Building a chatbot using an external knowledge base to eliminate the need for after-build testing by receiving a plurality of problem-solution records from the external knowledge base, classifying the plurality of problem-solution records according to a set of subject categories, converting, based on the set of categories, the plurality of problem-solution records into a plurality of chatbot intent-entity records, and building, using the plurality of chatbot intent-entity records, the chatbot.