Abstract: A training data generation apparatus uses spatial data of an actual object and thereby trains a generative model to perform conversion from the spatial data to a feature vector and conversion from the feature vector to spatial data. Moreover, the training data generation apparatus generates a sample of the feature vector as a realization value of a probability distribution defined by a set of parameters. Moreover, the training data generation apparatus generates training data used in training for an object recognition model based on the spatial data output from the generative model when the generated sample of the feature vector is input into the generative model.

Abstract: A dependence relationship detection device 20 includes an execution unit 21 for executing a reinforcement learning task of learning a deployment procedure, by using a reinforcement learning task definition in which an operation to a system to be constructed, the operation being defined for a template for use, in deployment, by an automation tool for automatically deploying the system to be constructed, and states of components of the system to be constructed are defined, the deployment procedure being premised on the states of the components after execution of the operation.

Abstract: The system deployment device 10 includes a meta information acquisition unit 11 which acquires meta information relative to meaning with respect to setting of a variable part in a template describing the system configuration information, a comparison score calculation unit 13 which compares the variable part in the template with setting items in the design information, based on the acquired meta information and the design information, to score matching degree, a mapping unit 14 which calculates optimal matching between the variable part in the template and the setting items in the design information, based on the scored matching degree, and a variable embedding unit 15 which generates the definition for IT system deployment by assigning values corresponding to the setting items in the design information to the variable part in the template, based on the optimal matching.

Abstract: A state management system according to an aspect of the present invention includes: a generation unit that generates a state element representing a modification request to change a first state element to a second state element, the first state element representing a state of an element, in which a first setting value is set, of a system of before modification, the second state element representing a state of the element, in which a second setting value is set, of the system of after modification, wherein a current state indicated by the first state element is a current state indicated by the second state element, and the modification request indicates that the current state is a request state, a state that depends on difference between the first setting value and the second setting value is the current state, and the second setting value is a setting value after modification.

Abstract: A change procedure generating device 10 includes: a storage means 11 which stores, for each relation among constituent elements of a system, a plurality of instances of inter-state information which indicates relations among states of the constituent elements wherein a follow-up state limitation is included which represents a relation between a state transition of the constituent elements of the system and prescribed states to which the constituent elements transition after the state transition has been executed, and an appending means 12 which appends the relations among the states of the constituent elements to an inputted system configuration definition, using the inter-state information which corresponds to the relations among the constituent elements which are included in the configuration definition.

Abstract: Provided is a learning apparatus 10 including a feature amount generation unit 11 configured to generate a feature amount based on learning data, a division condition generation unit 12 configured to generate a division condition in accordance with the feature amount and a complexity requirement that indicates the number of feature amounts, a learning data division unit 13 configured to divide the learning data into groups based on the division condition, a learning data evaluation unit 14 configured to evaluate a significance of each division condition by using a pre-division group and a post-division group; and a node generation unit 15 configured to, if there is a significance in the division condition of the pre-division and post-division groups, generate a node of a decision tree relating to the division condition.

Abstract: The modification procedure generation device according to an aspect of the present invention includes: elimination unit that eliminates states other than states that satisfy a predetermined condition from states including states of elements of a system undergoing modification based on a predetermined modification requirement, the predetermined condition pertaining to the system undergoing modification.

Abstract: A configuration management device 10 is a configuration management device that learns a change procedure by executing a trial change procedure among configuration change procedures for a system to be managed. The configuration management device includes: similarity computation means 11 that computes, in accordance with a type of parameter, a degree of similarity between a candidate parameter to be included in the trial change procedure and a parameter which is included in an already-executed change procedure; and probability computation means 12 that computes a probability that the candidate parameter is included in the trial change procedure by employing the computed degree of similarity.

Abstract: A parameter determination device according to the present invention includes: a processing unit (PU); and a storage, wherein the storage stores: a program; a system configuration definition including a plurality of elements each of which is a parameter set to a setting category that defines a configuration of a system; and a rule including identifiers of first and second ones of the setting categories; and the PU reads the program and performs functions, the function including: a grouping unit that groups the elements, based on the parameter for the second setting category of the elements; and an assignment execution unit that sets and outputs a parameter that is identical within a group or that is unique within the group, for the first setting category of each of the elements in the group.

Abstract: A system change assistance system includes value redefinition means 501 configured to compare two vectors, one of which is set to a first comparison subject vector and the other is set to a second comparison subject vector, each configured from a set of a value of a first item having a discrete value in which the number of possible values is finite or less than a predetermined value, and a value of a second item having a continuous value or a discrete value in which the number of possible values is equal to or larger than a predetermined value, and to change the value of the first item of the first comparison subject vector in a case where the value of the first item of each vector is matched and the value of the second item of each vector is different.

Abstract: A configuration management device 10 is provided with a generation means 11 for executing supervised machine learning on the basis of feature information that indicates the features of text data in which configuration information of a system is included and learning data in which the text data and the configuration information of the system are included, and thereby generating a prediction model used in predicting the configuration information of a system included in input data from input data that is the text data having the features indicated by the feature information.

Abstract: A configuration definition file created for a certain environment is easily applied to system deployment into another environment. A component information storage unit of a deployment device stores component information including, for each constituent element to constitute a system, setting information independent of deployment tools, and for each combination of each constituent element and each deployment tool available for deploying the constituent element, a deployment process for deploying the constituent element by the deployment tool. The component identification unit identifies, for each constituent element, a deployment process associated with a designated deployment tool, based on the component information. The sequence determination unit determines an execution sequence of the identified deployment processes, based on dependency relationships among the constituent elements.

Abstract: A change procedure generating device 10 includes: a storage means 11 which stores, for each relation among constituent elements of a system, a plurality of instances of inter-state information which indicates relations among states of the constituent elements wherein a follow-up state limitation is included which represents a relation between a state transition of the constituent elements of the system and prescribed states to which the constituent elements transition after the state transition has been executed, and an appending means 12 which appends the relations among the states of the constituent elements to an inputted system configuration definition, using the inter-state information which corresponds to the relations among the constituent elements which are included in the configuration definition.

Abstract: A difference in configuration definition between different systems is efficiently extracted. A difference detection device (100) includes a configuration definition acquisition unit (110) and a configuration comparison unit (140). The configuration definition acquisition unit (110) acquires, with respect to different systems, configuration definitions (210) each including components of a system and a reference relation between the components. The configuration comparison unit (140) classifies, based on the reference relation between the components in configuration definition (210) of each of the different systems, the components in each configuration definition (210) into a common component and a difference component between the different systems, and outputs a result of classification.

Abstract: Efficient system construction is enabled even when components (objects) of a system include such a setting item whose setting value is determined by an environment of a destination of construction during deployment. In a deployment device (100), a setting information storage unit (120) stores setting information indicating a referencing relation among setting items of a plurality of objects included in a system and a dependent item which is a setting item whose value is determined during deployment in an execution environment among the setting items of the plurality of objects. A deployment sequence determination unit (140) determines a sequence in which the plurality of objects are to be deployed in the execution environment, based on the setting information. A deployment execution unit (150) deploys each of the plurality of objects in the execution environment in accordance with the deployment sequence.

Abstract: A system change assistance system includes value redefinition means 501 configured to compare two vectors, one of which is set to a first comparison subject vector and the other is set to a second comparison subject vector, each configured from a set of a value of a first item having a discrete value in which the number of possible values is finite or less than a predetermined value, and a value of a second item having a continuous value or a discrete value in which the number of possible values is equal to or larger than a predetermined value, and to change the value of the first item of the first comparison subject vector in a case where the value of the first item of each vector is matched and the value of the second item of each vector is different.

Abstract: The purpose of the present invention is to easily apply a system configuration definition file which is generated for a given environment to system deployment for another environment. A component information storage unit 110 of a deployment device 100 stores component information 111, which includes: setting information which is independent of deployment tools, for each of the constituent elements which configure a system; and deployment processes performed by the deployment tools with respect to combinations of each constituent element and each deployment tool which is usable in the deployment of the constituent element. A component identification unit 120 identifies the deployment processes corresponding to a designated deployment tool for each of the constituent elements on the basis of the component information 111. A sequence determination unit 130 determines an execution sequence of the identified deployment processes on the basis of dependencies among the constituent elements.

Abstract: A parameter determination device according to the present invention includes: a processing unit (PU); and a storage, wherein the storage stores: a program; a system configuration definition including a plurality of elements each of which is a parameter set to a setting category that defines a configuration of a system; and a rule including identifiers of first and second ones of the setting categories; and the PU reads the program and performs functions, the function including: a grouping unit that groups the elements, based on the parameter for the second setting category of the elements; and an assignment execution unit that sets and outputs a parameter that is identical within a group or that is unique within the group, for the first setting category of each of the elements in the group.

Abstract: A difference in configuration definition between different systems is efficiently extracted. A difference detection device (100) includes a configuration definition acquisition unit (110) and a configuration comparison unit (140). The configuration definition acquisition unit (110) acquires, with respect to different systems, configuration definitions (210) each including components of a system and a reference relation between the components. The configuration comparison unit (140) classifies, based on the reference relation between the components in configuration definition (210) of each of the different systems, the components in each configuration definition (210) into a common component and a difference component between the different systems, and outputs a result of classification.

Abstract: Efficient system construction is enabled even when components (objects) of a system include such a setting item whose setting value is determined by an environment of a destination of construction during deployment. In a deployment device (100), a setting information storage unit (120) stores setting information indicating a referencing relation among setting items of a plurality of objects included in a system and a dependent item which is a setting item whose value is determined during deployment in an execution environment among the setting items of the plurality of objects. A deployment sequence determination unit (140) determines a sequence in which the plurality of objects are to be deployed in the execution environment, based on the setting information. A deployment execution unit (150) deploys each of the plurality of objects in the execution environment in accordance with the deployment sequence.