Abstract: A method, system and computer-usable medium are disclosed for the use of a text simplification in a question answering (QA) system to improve ingestion quality and QA performance. A source corpus is processed to generate a parsed source corpus, which in turn is processed to generate a shadow corpus of simplified text. The parsed source corpus and the shadow corpus are then processed to generate derived data resources. A user query is processed to generate a set of merged candidate answer variants which are in turn processed to generate a corresponding converged feature vector representing each merged candidate answer variant. Feature values associated with each converged feature vector are then used to rank the merged candidate answer variants. A ranked set of merged candidate answer variants is then provided to the user.

Abstract: Arrangements described herein relate to generation of test plans. A list of test case selection criteria can be presented to each of a plurality of stakeholders. At least one user input is received from each of the plurality of stakeholders selecting at least one test case selection criterion from the list of test case selection criteria and, for each selected test case selection criterion, assigning a criterion priority. Test cases, which correspond to the selected test case selection criteria, can be automatically selected to include in a candidate test plan. A candidate priority can be automatically assigned to each test case selected to be included in the candidate test plan. The processor selects the test cases to include in the candidate test plan and assigns the candidate priorities to the selected test cases based on processing the criterion priorities assigned to the selected test case selection criteria by the stakeholders.

Abstract: At least one ALM artifact, indexed by a unified data store, that does not comply with at least one process convention can be identified. Responsive to identifying the ALM artifact, indexed by the unified data store, that does not comply with the process convention, a determination can be made by a process convention agent executed by a processor as to whether script code is available to update the ALM artifact to comply with the process convention. Responsive to the process convention agent determining that script code is available to update the ALM artifact to comply with the process convention, the process convention agent can automatically execute the script code to update the ALM artifact to comply with the process convention.

Abstract: A mechanism is provided in a data processing system comprising at least one processor and at least one memory, the at least one memory comprising instructions which are executed by the at least one processor and configure the processor to implement a conversation scope system, comprising a conversation scope controller and a conversation scope extractor, for progressively extending conversation scope in a multi-user messaging platform. The conversation scope controller captures an utterance input by a user into a chat platform. The conversation scope extractor determines a conversation scope for the utterance based on at least one entity extracted from the entity. The conversation scope controller directs the utterance to a messaging chat room based on the determined conversation scope.

Abstract: Arrangements described herein relate to generation of test plans. A list of test case selection criteria can be presented to each of a plurality of stakeholders. At least one user input is received from each of the plurality of stakeholders selecting at least one test case selection criterion from the list of test case selection criteria and, for each selected test case selection criterion, assigning a criterion priority. Test cases, which correspond to the selected test case selection criteria, can be automatically selected to include in a candidate test plan. A candidate priority can be automatically assigned to each test case selected to be included in the candidate test plan. The processor selects the test cases to include in the candidate test plan and assigns the candidate priorities to the selected test cases based on processing the criterion priorities assigned to the selected test case selection criteria by the stakeholders.

Abstract: A method and system are provided. The method includes monitoring power usage and predicting power requirements for the at least two mobile devices. The method further includes identifying a device charging order and a power threshold of each of the at least two devices to meet the predicted power requirements of each of the at least two devices. The method also includes notifying a user regarding the device charging order and the power threshold of each of the at least two devices. At least the monitoring, identifying, and notifying steps are performed by a processor-enabled charging manager.

Abstract: A mechanism is provided in a data processing system comprising at least one processor and at least one memory, the at least one memory comprising instructions which are executed by the at least one processor and configure the processor to implement a conversation scope system, comprising a conversation scope controller and a conversation scope extractor, for progressively extending conversation scope in a multi-user messaging platform. The conversation scope controller captures an utterance input by a user into a chat platform. The conversation scope extractor determines a conversation scope for the utterance based on at least one entity extracted from the entity. The conversation scope controller directs the utterance to a messaging chat room based on the determined conversation scope.

Abstract: Arrangements described herein relate to generation of test plans. A list of test case selection criteria can be presented to each of a plurality of stakeholders. At least one user input is received from each of the plurality of stakeholders selecting at least one test case selection criterion from the list of test case selection criteria and, for each selected test case selection criterion, assigning a criterion priority. Test cases, which correspond to the selected test case selection criteria, can be automatically selected to include in a candidate test plan. A candidate priority can be automatically assigned to each test case selected to be included in the candidate test plan. The processor selects the test cases to include in the candidate test plan and assigns the candidate priorities to the selected test cases based on processing the criterion priorities assigned to the selected test case selection criteria by the stakeholders.

Abstract: Arrangements described herein relate to generation of test plans. A list of test case selection criteria can be presented to each of a plurality of stakeholders. At least one user input is received from each of the plurality of stakeholders selecting at least one test case selection criterion from the list of test case selection criteria and, for each selected test case selection criterion, assigning a criterion priority. Test cases, which correspond to the selected test case selection criteria, can be automatically selected to include in a candidate test plan. A candidate priority can be automatically assigned to each test case selected to be included in the candidate test plan. The processor selects the test cases to include in the candidate test plan and assigns the candidate priorities to the selected test cases based on processing the criterion priorities assigned to the selected test case selection criteria by the stakeholders.

Abstract: At least one ALM artifact, indexed by a unified data store, that does not comply with at least one process convention can be identified. Responsive to identifying the ALM artifact, indexed by the unified data store, that does not comply with the process convention, a determination can be made by a process convention agent executed by a processor as to whether script code is available to update the ALM artifact to comply with the process convention. Responsive to the process convention agent determining that script code is available to update the ALM artifact to comply with the process convention, the process convention agent can automatically execute the script code to update the ALM artifact to comply with the process convention.

Abstract: Backing up electronic data files excluding confidential data. An electronic trigger event for initiating a data backup operation is detected. Data files are identified for backup. One or more files, or parts of a file, are designated for exclusion from the backup process. The backup process initiates a backup operation of one or more files, excluding the designated files.

Abstract: At least one ALM artifact, indexed by a unified data store, that does not comply with at least one process convention can be identified. Responsive to identifying the ALM artifact, indexed by the unified data store, that does not comply with the process convention, a determination can be made by a process convention agent executed by a processor as to whether script code is available to update the ALM artifact to comply with the process convention. Responsive to the process convention agent determining that script code is available to update the ALM artifact to comply with the process convention, the process convention agent can automatically execute the script code to update the ALM artifact to comply with the process convention.

Abstract: At least one ALM artifact, indexed by a unified data store, that does not comply with at least one process convention can be identified. Responsive to identifying the ALM artifact, indexed by the unified data store, that does not comply with the process convention, a determination can be made by a process convention agent executed by a processor as to whether script code is available to update the ALM artifact to comply with the process convention. Responsive to the process convention agent determining that script code is available to update the ALM artifact to comply with the process convention, the process convention agent can automatically execute the script code to update the ALM artifact to comply with the process convention.

Abstract: In an approach, a processor obtains at least one media file. A processor receives a request to create a segment sequence using the at least one media file, wherein the segment sequence comprises a plurality of segments of the at least one media file. A processor creates the segment sequence from the at least one media file. A processor shares the segment sequence to a social computing platform. A processor receives a request for a social computing operation to be performed on the segment sequence. A processor performs the social computing operation on the segment sequence.

Abstract: In an approach, a processor obtains at least one media file. A processor receives a request to create a segment sequence using the at least one media file, wherein the segment sequence comprises a plurality of segments of the at least one media file. A processor creates the segment sequence from the at least one media file. A processor shares the segment sequence to a social computing platform. A processor receives a request for a social computing operation to be performed on the segment sequence. A processor performs the social computing operation on the segment sequence.

Abstract: According to an embodiment of the present invention, an artifact is received, and unstructured content of the artifact is parsed and analyzed to identify data for one or more of missing structured content of the artifact and inaccurate structured content of the artifact. The identified data is then added to the artifact. Embodiments of the present invention can be used, for example, to provide data for missing and inaccurate structured content in artifacts of Application Lifecycle Management (ALM) frameworks, and improve accuracy of structured information that used to run queries and create reports.

Abstract: According to an embodiment of the present invention, an artifact is received, and unstructured content of the artifact is parsed and analyzed to identify data for one or more of missing structured content of the artifact and inaccurate structured content of the artifact. The identified data is then added to the artifact. Embodiments of the present invention can be used, for example, to provide data for missing and inaccurate structured content in artifacts of Application Lifecycle Management (ALM) frameworks, and improve accuracy of structured information that used to run queries and create reports.

Abstract: A method, system and computer-usable medium are disclosed for the use of a text simplification in a question answering (QA) system to improve ingestion quality and QA performance. A source corpus is processed to generate a parsed source corpus, which in turn is processed to generate a shadow corpus of simplified text. The parsed source corpus and the shadow corpus are then processed to generate derived data resources. A user query is processed to generate a set of merged candidate answer variants which are in turn processed to generate a corresponding converged feature vector representing each merged candidate answer variant. Feature values associated with each converged feature vector are then used to rank the merged candidate answer variants. A ranked set of merged candidate answer variants is then provided to the user.

Abstract: A user input initiating delivery of a first change set to a stream maintained by an artifact management application can be detected. A first set of elements and a first set of elements types associated with the first change set can be identified. A second set of element types that pertain to at least one unit of work identified for the first set of elements can be identified. A second set of elements that are involved in the same unit of work can be identified. A second change set modifying the second set of elements can be identified. A third change set modifying at least one element type can be identified. A change set group can be created and the first change set, the second change set and the third change set can be added to the change set group. The change set group can be delivered to the stream.

Abstract: Identifying an electronic data file for exclusion from a data backup operation. A method identifies either or both of a first data file stored on an electronic file system, and a set of data elements within the first data file. Either or both of the first data file and the set of data elements within the first data file have at least one feature matching a predefined exclusion feature. The method designates either or both of the first data file and the set of data elements within the first data file for exclusion from a backup operation.