Abstract: Systems and methods for software tracking and management are disclosed. In embodiments, a computer-implemented method comprises: receiving, by a computing device, build output code from one or more user computer devices via a network, wherein the build output code is generated in response to a software build; automatically identifying, by the computing device, differences between the build output code and associated in-production software code; automatically mapping, by the computing device, the differences to microservices of the in-production software code; and generating, by the computing device, a list of microservices of the in-production software code affected by the differences in a rollout of the build output code based on the mapping.

Abstract: A method and system for processing a request. Extracted elements of the request are categorized in accordance with an ontology model, thereby generating ontology components assigned to the extracted elements. A knowledge base includes data indicative of solutions for requests. The solutions for requests in the knowledge base are categorized in accordance with the ontology model. Categorizing the elements includes for each element: determining a concept of the element wherein the element is an instance or a class of the determined concept and determining relations between the elements, wherein the ontology components include the determined concepts, instances and relations. The knowledge base is searched using the generated ontology components, thereby identifying solutions for the request. The identified solutions are provided.

Abstract: A diagnosis server for collaborating with electronic noses, a related mobile diagnosis unit and a related method may be provided. A diagnosis server may comprise a receiver unit for receiving a set of data from one out of a plurality of e-noses. The set of data may comprise a sensor identifier, a sensor output value, and a relevance flag for a predefined diagnosis. A determination unit may determine a probability factor for the predefined diagnosis based on the set of data, a relevance function and a distribution function.

Abstract: A method and system for improving a functioning of critical execution computing machines. A promoted critical execution computing machine determines one or more correction actions for reducing an impact of an execution issue on execution of critical work units by respective critical execution computing machines on the execution of the critical work units by the respective critical execution computing machines according to global correction information, local correction information, and peer correction information. The global correction information had been received from a scheduling computing machine and relates to the critical work units and to the critical execution computing machines. The local correction information relates to each corresponding critical work unit and to a status of the promoted critical execution computing machine. The peer correction information relates to the corresponding critical work units and to a corresponding status of the other critical execution computing machines.

Abstract: A method and associated system. Expected problems in a workload plan are predicted in response to any current occurrences of impacting system events according to the workload plan and corresponding expected impacts of the impacting system events of system events on execution of impacted work units of work units. Predicting the expected problems includes: identifying workload deadlines relating to the impacted work units in the workload plan; estimating intervention times for addressing the expected problems before missing the corresponding workload deadlines; determining corresponding minimum times required to fulfill the workload deadlines according to a progress of the workload plan; and estimating each of the intervention times further according to the minimum time of the corresponding workload deadline. An intervention program of system interventions on the computing system is established.

Abstract: Systems and methods for software tracking and management are disclosed. In embodiments, a computer-implemented method comprises: receiving, by a computing device, build output code from one or more user computer devices via a network, wherein the build output code is generated in response to a software build; automatically identifying, by the computing device, differences between the build output code and associated in-production software code; automatically mapping, by the computing device, the differences to microservices of the in-production software code; and generating, by the computing device, a list of microservices of the in-production software code affected by the differences in a rollout of the build output code based on the mapping.

Abstract: A method and associated system. Expected problems in a workload plan are predicted in response to any current occurrences of impacting system events according to the workload plan and corresponding expected impacts of the impacting system events of system events on execution of impacted work units of work units. Predicting the expected problems includes: identifying workload deadlines relating to the impacted work units in the workload plan; estimating intervention times for addressing the expected problems before missing the corresponding workload deadlines; determining corresponding minimum times required to fulfill the workload deadlines according to a progress of the workload plan; and estimating each of the intervention times further according to the minimum time of the corresponding workload deadline. An intervention program of system interventions on the computing system is established.

Abstract: A method and system for improving a functioning of critical execution computing machines. A promoted critical execution computing machine determines one or more correction actions for reducing an impact of an execution issue on execution of critical work units by respective critical execution computing machines on the execution of the critical work units by the respective critical execution computing machines according to global correction information, local correction information, and peer correction information. The global correction information had been received from a scheduling computing machine and relates to the critical work units and to the critical execution computing machines. The local correction information relates to each corresponding critical work unit and to a status of the promoted critical execution computing machine. The peer correction information relates to the corresponding critical work units and to a corresponding status of the other critical execution computing machines.

Abstract: Expected impacts of one or more impacting system events of one or more system events on execution of one or more impacted work units of one or more work units are estimated according to (i) system event historical information indicative of previous occurrences in a computing system of the one or more system events and (ii) work unit historical information indicative of previous executions of the one or more work units. Expected problems in a workload plan are predicted in response to any current occurrences of the impacting system events according to the corresponding expected impacts and the workload plan. An intervention program of one or more system interventions on the computing system is established. The system interventions address the current occurrences of the impacting system events according to the corresponding expected problems. An indication of the intervention program for programming the system interventions accordingly is outputted.

Abstract: A method and system for processing a request document including a request. The request document is processed using a question analysis function of a question answering system, thereby extracting elements of the request. The question answering system has multiple functions including the question analysis function. The extracted elements are categorized in accordance with an ontology model, thereby generating ontology components assigned to the extracted elements. A knowledge base includes data indicative of solutions for requests. The solutions for requests in the knowledge base are categorized in accordance with the ontology model. The knowledge base is searched using the generated ontology components, thereby identifying solutions for the request. The identified solutions are provided.

Abstract: A method and system for improving a functioning of critical execution computing machines by reducing an impact of an execution issue on execution of critical work units by respective critical execution computing machines. A promoted critical execution computing machine receives global correction information relating to the critical work units and to the critical execution computing machines. The execution issue impacts execution of the critical work units by each critical execution computing machine. One critical work unit had been promoted to become a promoted critical work unit that is to be executed by the promoted critical execution computing machine.

Abstract: Systems and methods for software tracking and management are disclosed. In embodiments, a computer-implemented method comprises: receiving, by a computing device, build output code from one or more user computer devices via a network, wherein the build output code is generated in response to a software build; automatically identifying, by the computing device, differences between the build output code and associated in-production software code; automatically mapping, by the computing device, the differences to microservices of the in-production software code; and generating, by the computing device, a list of microservices of the in-production software code affected by the differences in a rollout of the build output code based on the mapping.

Abstract: A diagnosis server for collaborating with electronic noses, a related mobile diagnosis unit and a related method may be provided. A diagnosis server may comprise a receiver unit for receiving a set of data from one out of a plurality of e-noses. The set of data may comprise a sensor identifier, a sensor output value, and a relevance flag for a predefined diagnosis. A determination unit may determine a probability factor for the predefined diagnosis based on the set of data, a relevance function and a distribution function.

Abstract: Expected impacts of one or more impacting system events of one or more system events on execution of one or more impacted work units of one or more work units are estimated according to (i) system event historical information indicative of previous occurrences in a computing system of the one or more system events and (ii) work unit historical information indicative of previous executions of the one or more work units. Expected problems in a workload plan are predicted in response to any current occurrences of the impacting system events according to the corresponding expected impacts and the workload plan. An intervention program of one or more system interventions on the computing system is established. The system interventions address the current occurrences of the impacting system events according to the corresponding expected problems. An indication of the intervention program for programming the system interventions accordingly is outputted.

Abstract: A method and system for processing a request. Extracted elements of the request are categorized in accordance with an ontology model, thereby generating ontology components assigned to the extracted elements. A knowledge base includes data indicative of solutions for requests. The solutions for requests in the knowledge base are categorized in accordance with the ontology model. Categorizing the elements includes for each element: determining a concept of the element wherein the element is an instance or a class of the determined concept and determining relations between the elements, wherein the ontology components include the determined concepts, instances and relations. The knowledge base is searched using the generated ontology components, thereby identifying solutions for the request. The identified solutions are provided.

Abstract: A method and system. System event historical information indicative of previous occurrences in a computing system of system events is retrieved. Work unit historical information indicative of previous executions of work units is retrieved. Expected impacts of impacting system events of the system events on the execution of one or more impacted work units of the work units are estimated according to the system event historical information and the work unit historical information. Expected problems in a workload plan are predicted in response to any current occurrences of the impacting system events according to the corresponding expected impacts and the workload plan An intervention program of one or more system interventions on the computing system is established, the system interventions addressing the current occurrences of the impacting system events according to the corresponding expected problems. An indication of the intervention program for programming the system interventions accordingly is outputted.

Abstract: A system and diagnosis server are provided for collaborating with electronic noses, as well as a related mobile diagnosis unit and related method. The diagnosis server includes a receiver unit for receiving a set of data from one e-nose of a plurality of e-noses. The set of data may include a sensor identifier, a sensor output value, and a relevance flag for a predefined diagnosis. In addition, a determination unit determines a probability factor for the predefined diagnosis based on the set of data, a relevance function and a distribution function.

Abstract: Systems and methods for software tracking and management are disclosed. In embodiments, a computer-implemented method comprises: receiving, by a computing device, build output code from one or more user computer devices via a network, wherein the build output code is generated in response to a software build; automatically identifying, by the computing device, differences between the build output code and associated in-production software code; automatically mapping, by the computing device, the differences to microservices of the in-production software code; and generating, by the computing device, a list of microservices of the in-production software code affected by the differences in a rollout of the build output code based on the mapping.

Abstract: A method and system for improving a functioning of critical execution computing machines by reducing an impact of an execution issue on execution of critical work units by respective critical execution computing machines. A promoted critical execution computing machine receives global correction information relating to the critical work units and to the critical execution computing machines. The execution issue impacts execution of the critical work units by each critical execution computing machine. One critical work unit had been promoted to become a promoted critical work unit that is to be executed by the promoted critical execution computing machine.

Abstract: A method for upgrading a database schema in real time, wherein the database schema is associated with a plurality of databases is provided. The method may include installing a first plugin on a database upgrade process associated with a database. The method may include installing a second plugin on each database instance within the plurality of databases. The method may include determining a delta associated with a final target version of the database schema. Additionally, the method may include outlining an existence of an incongruence, an existence of an override or an existence of a customization removal based on the determined delta. The method may include performing a peer-to-peer broadcasting analysis between each database. The method may include defining a migration strategy for each database instance within the plurality of databases based on the peer-to-peer broadcasting analysis. The method may further include creating a script for upgrading the database schema.