Abstract: A system for autonomously delivering software features is disclosed. The system parses data obtained from a variety of sources, and extracts source concepts from the parsed data to generate models for inclusion in a set of agglomerated models. Over time, additional data from the variety of sources may be utilized to update the set of agglomerated models. The updated agglomerated models may be analyzed by the system to determine whether new features and/or functionality may be added to an application under evaluation by the system. In the event that new features and/or functionality may be added to the application under evaluation, the system may automatically generate code corresponding to the new features and/or functionality and incorporate that features and/or functionality into the application under evaluation.

Abstract: Systems and methods for operating a cellular telecommunications network. If determining that a first cell of a base station is about to reboot, performing a handover of one or more User Equipments from that cell to a second cell. After the reboot, the user equipment may be handed back to the rebooted cell. If both cells are to reboot, a determination is made to identify which cell's reboot operation is to be prioritized, a handover of the user equipment attached to the prioritized cell to the other cell is made, the prioritized cell is rebooted, all the user equipments are handed over from the non-prioritized cell to the (now rebooted) prioritized cell, the non-prioritized cell is rebooted and the user equipment that was initially attached to the non-prioritized cell is handed over from the prioritized cell back to the now rebooted non-prioritized cell.

Abstract: A system for discovering semantic relationships in computer programs is disclosed. In particular, the system may synergistically identify and validate semantic relationships, concepts, and groupings associated with data elements within a static or dynamic, time varying, source input. The system may utilize feature extractors to extract features from the input and reasoners to develop associations using data from multiple feature set types, and, can thus generate reliable, robust, and complete sets of semantic relationships from the input. The system may generate hypotheses associated with the relationships, concepts, and groupings, and validate the hypotheses by testing an application under evaluation by the system and observing the outputs generated from the testing.

Abstract: A system for providing intelligent part of speech processing of complex natural language is disclosed. The system identifies a multiword concept from an input and replaces the multiword concept with a token to be tagged as a desired part of speech. The system passes the modified text including the token to a part-of-speech tagger to tag each word in the text with the appropriate part-of-speech. The system may replace the token with the original text that the token was utilized to replace so that the original intent of the text is evident. The system may analyze the tagged text to generate analyses and interpretations associated with the input. When multiple multiword concepts are identified, the system may evaluate them by computing scores for each of the multiword concepts that may be replaced with tokens, for each of the modified texts including the tokens, or for any interpretations and analyses thereof.

Abstract: A method of operating a wireless telecommunications network includes identifying a signal coverage area of a moving base station, that forms part of a first telecommunications network, to which to allocate a first physical network identifier, determining a second physical network identifier for enabling user equipment to access an access point that serves the identified signal coverage area, wherein the access point is stationary relative to the moving base station and forms part of a second wireless telecommunications network, and associating the first physical network identifier with the second physical network identifier. The method further includes allocating the first physical network identifier to the moving base station to allow user equipment within the signal coverage area to access the moving base station via the first physical network identifier when the moving base station is providing a telecommunications signal in the identified signal coverage area.

Abstract: A system for providing intelligent part of speech processing of complex natural language is disclosed. The system identifies a multiword concept from an input and replaces the multiword concept with a token to be tagged as a desired part of speech. The system passes the modified text including the token to a part-of-speech tagger to tag each word in the text with the appropriate part-of-speech. The system may replace the token with the original text that the token was utilized to replace so that the original intent of the text is evident. The system may analyze the tagged text to generate analyses and interpretations associated with the input. When multiple multiword concepts are identified, the system may evaluate them by computing scores for each of the multiword concepts that may be replaced with tokens, for each of the modified texts including the tokens, or for any interpretations and analyses thereof.

Abstract: A system for discovering semantic relationships in computer programs is disclosed. In particular, the system may synergistically identify and validate semantic relationships, concepts, and groupings associated with data elements within a static or dynamic, time varying, source input. The system may utilize feature extractors to extract features from the input and reasoners to develop associations using data from multiple feature set types, and, can thus generate reliable, robust, and complete sets of semantic relationships from the input. The system may generate hypotheses associated with the relationships, concepts, and groupings, and validate the hypotheses by testing an application under evaluation by the system and observing the outputs generated from the testing.

Abstract: Systems and methods for operating a cellular telecommunications network. If determining that a first cell of a base station is about to reboot, performing a handover of one or more User Equipments from that cell to a second cell. After the reboot, the user equipment may be handed back to the rebooted cell. If both cells are to reboot, a determination is made to identify which cell's reboot operation is to be prioritized, a handover of the user equipment attached to the prioritized cell to the other cell is made, the prioritized cell is rebooted, all the user equipments are handed over from the non-prioritized cell to the (now rebooted) prioritized cell, the non-prioritized cell is rebooted and the user equipment that was initially attached to the non-prioritized cell is handed over from the prioritized cell back to the now rebooted non-prioritized cell.

Abstract: This disclosure provides a network node, and a method of operating the network node, having one or more communications interfaces connectable to a first communications network and to a second communications network, the method including the network node accessing a service using the first communications network; analyzing data relating to the first communications network to identify a plurality of fault-indicative events; determining a rate of the plurality of fault-indicative events per unit time; and the network node accessing the service using the second communications network in response to a first trigger, wherein the first trigger is based on the rate of the plurality of fault-indicative events per unit time.

Abstract: A system for discovering semantic relationships in computer programs is disclosed. In particular, the system may synergistically identify and validate semantic relationships, concepts, and groupings associated with data elements within a static or dynamic, time varying, source input. The system may utilize feature extractors to extract features from the input and reasoners to develop associations using data from multiple feature set types, and, can thus generate reliable, robust, and complete sets of semantic relationships from the input. The system may generate hypotheses associated with the relationships, concepts, and groupings, and validate the hypotheses by testing an application under evaluation by the system and observing the outputs generated from the testing.

Abstract: A system for understanding navigational semantics via hypothesis generation and contextual analysis is disclosed. The system may, such as when examining and testing a software application, address the handling and resolution of constraint hypotheses in an uncertain environment, where potentially overlapping or conflicting suggestions are generated with various confidences. The system may utilize algorithmic and/or machine learning tools to identify consistent constraints for the software application with the highest levels of confidence. During operation, the system may continuously perform hypothesis testing on constraints generated by the system, which may result in the creation of new hypotheses yielding improved confidences. Feedback from the hypothesis testing may be provided to knowledge sources to improve the processing of information subsequently processed by the system. The system may construct complex constraints on multiple fields or functional transitions with associated confidences.

Abstract: There is provided a method, and a network node for implementing the method, in a cellular telecommunications network. The cellular telecommunications network includes a first and second base station, the first base station having a first interface for communicating with a first cellular core networking node and a second interface for wirelessly communicating with the second base station, the second base station being mobile and having a first interface for wirelessly communicating with the first base station and a second interface for communicating with a User Equipment (UE), wherein the UE's user traffic is transmitted between the first cellular core networking node and the UE via the first and second base stations.

Abstract: A system for providing autonomous discovery of field or navigation constraints is disclosed. The system may parse text extracted from an output of an application and text extracted from documents internal to the system, external to the system, or a combination thereof. The parsed text may be correlated by the system with a field of the application, an order of operations to be conducted within the application, a functional transition of the application, or a combination thereof. Based on the correlation, the system may generate a constraint for the field of the application, the order of operations to be conducted within the application, the functional transition of the application, or a combination thereof. The system may conduct hypothesis testing on the constraint to increase a confidence value of the constraint. Moreover, the system may validate the constraint with the application being evaluated by the system.

Abstract: A system for autonomously delivering software features is disclosed. The system parses data obtained from a variety of sources, and extracts source concepts from the parsed data to generate models for inclusion in a set of agglomerated models. Over time, additional data from the variety of sources may be utilized to update the set of agglomerated models. The updated agglomerated models may be analyzed by the system to determine whether new features and/or functionality may be added to an application under evaluation by the system. In the event that new features and/or functionality may be added to the application under evaluation, the system may automatically generate code corresponding to the new features and/or functionality and incorporate that features and/or functionality into the application under evaluation.

Abstract: This disclosure provides a network node, and a method of operating the network node, having one or more communications interfaces connectable to a first communications network and to a second communications network, the method including the network node accessing a service using the first communications network; analyzing data relating to the first communications network to identify a plurality of fault-indicative events; determining a rate of the plurality of fault-indicative events per unit time; and the network node accessing the service using the second communications network in response to a first trigger, wherein the first trigger is based on the rate of the plurality of fault-indicative events per unit time.

Abstract: A method of operating a cellular telecommunications network having a plurality of base stations, wherein each base station of the plurality of base stations has an operational parameter being one of a set of values, wherein the set includes k values, the method including defining a first graph comprising a first plurality of nodes and a first plurality of edges, wherein a node of the first plurality of nodes represents a first base station of the plurality of base stations, and an edge of the first plurality of edges represents a first neighboring relationship between two base stations of the plurality of base stations, wherein each edge of the first plurality of edges has an associated first weight value; partitioning the first graph into k sub-first graphs, each having a first subset of the plurality of nodes and a first subset of the plurality of edges, such as to minimize a first sum value of the first weight values of the first subset of the plurality of edges in all k sub-first graphs; calculating a fir

Abstract: There is provided a method, and a network node for implementing the method, in a cellular telecommunications network. The cellular telecommunications network includes a first and second base station, the first base station having a first interface for communicating with a first cellular core networking node and a second interface for wirelessly communicating with the second base station, the second base station being mobile and having a first interface for wirelessly communicating with the first base station and a second interface for communicating with a User Equipment (UE), wherein the UE's user traffic is transmitted between the first cellular core networking node and the UE via the first and second base stations.

Abstract: A system for autonomously testing a computing system is disclosed. The system parses data obtained from a variety of sources, and extracts source concepts from the parsed data to generate models for inclusion in a set of agglomerated models. The system interacts with and explores features of a software application being tested by the system. Outputs and information obtained from the interaction are utilized by the system to update the models or generate new models for the set of agglomerated models. The agglomerated models are utilized by the system to execute tests on the application to detect potential defects and conflicts. Detected defects and conflicts may be included in a report for review. Feedback on the defects and conflicts may be utilized to further update the agglomerated models. The agglomerated models are updated recursively as additional data is obtained, further interactions are performed, and further outputs are generated over time.

Abstract: A system for optimizing system resources and runtime during a testing procedure is disclosed. During operation, the system may perform hypothesis testing on an application under evaluation, such as performing hypothesis testing on suggested constraints for the application under evaluation, which may result in the creation of new hypotheses yielding improved confidences. This testing may be optimized by simplifying and/or reducing the number of hypothesis tests used during the testing process. To do so, the hypothesis tests may be sorted into sets, and a subset of these sorted hypothesis tests may be executed. Based on the results of this testing, a remaining portion of the hypothesis tests may be skipped, allowing for an optimization of the testing process without reducing the quality of the testing procedure.

Abstract: A system for providing intelligent part of speech processing of complex natural language is disclosed. The system identifies a multiword concept from an input and replaces the multiword concept with a token to be tagged as a desired part of speech. The system passes the modified text including the token to a part-of-speech tagger to tag each word in the text with the appropriate part-of-speech. The system may replace the token with the original text that the token was utilized to replace so that the original intent of the text is evident. The system may analyze the tagged text to generate analyses and interpretations associated with the input. When multiple multiword concepts are identified, the system may evaluate them by computing scores for each of the multiword concepts that may be replaced with tokens, for each of the modified texts including the tokens, or for any interpretations and analyses thereof.