Abstract: In a semantic representation generation method, syntax data is generated by a superficial analysis on text data described in a natural language. A concept tag is provided to each morpheme based on the syntax data with reference to a CT system table in which concept information hierarchically and ambiguously representing a meaning of the morpheme for a part of speech. Provided is a first semantic tag indicating semantic information representing a semantic relation between a first phrase/sequence of phrases and a second phrase/sequence of phrases to a first pair made up of the first phrase/sequence of phrases corresponding to a predicate and the second phrase/sequence of phrases having a modification relation with the predicate based on the syntax data. Semantic representation data is generated based on the concept tag provided to each morpheme and the first semantic tag provided to the first pair.

Abstract: A similarity calculation apparatus according to the present invention includes: a name acquisition unit configured to acquire a first group name to which each word belonging to a first synonym group belongs and a second group name to which each word belonging to a second synonym group belongs; a name set generation unit configured to generate a first group name set and a second group name set; and a similarity calculation unit configured to calculate similarity between the first group name set and the second group name set. Therefore, even when a plurality of synonym groups are created, terms can be effectively unified.

Abstract: A vector acquisition method includes: inputting, into a learned model, at least one piece of text including at least two of a plurality of words obtained by dividing a compound, the compound being a word divisible into the plurality of words; outputting, from the learned model, an adjusted vector corresponding to at least one of the words obtained by dividing the compound in the input piece of text; and acquiring a compound vector corresponding to the compound using the adjusted vector output from the learned model. Classification accuracy of vectors corresponding to words can thereby be enhanced.

Abstract: A synonym determination method includes the steps of: converting words contained in a document into first vectors representing meanings of the words; obtaining a word similarity on the basis of the first vectors; converting sentences contained in the document into second vectors representing meanings of the sentences; obtaining a sentence similarity on the basis of the second vectors; classifying the words contained in the document according to topic; and determining whether the words contained in the document are synonyms on the basis of the word similarity, the sentence similarity, and the result of topic classification. Thus, the synonym determination method is provided so as to allow highly accurate automatic synonym determination.

Abstract: Learning data representing the relationship between explanatory variables and objective variables is acquired by an acquirer. In the learning data acquired by the acquirer, a hierarchical relationship among a plurality of items included in the objective variable is determined by a hierarchy determiner. A construction algorithm to be executed among a plurality of construction algorithms for construction of a learning model is determined by an algorithm determiner based on the hierarchical relationship determined by the hierarchy determiner. A first learning model is constructed by execution of the construction algorithm determined by the algorithm determiner by a learner.

Abstract: A similarity calculation apparatus according to the present invention includes: a name acquisition unit configured to acquire a first group name to which each word belonging to a first synonym group belongs and a second group name to which each word belonging to a second synonym group belongs; a name set generation unit configured to generate a first group name set and a second group name set; and a similarity calculation unit configured to calculate similarity between the first group name set and the second group name set. Therefore, even when a plurality of synonym groups are created, terms can be effectively unified.

Abstract: A parameter update apparatus according to the present invention includes: an input unit configured to receive input of teaching data; and an update unit configured to update a parameter for assigning at least one estimation label corresponding to each of a plurality of data items by performing multi-task learning by using a neural network for the plurality of data items of the input teaching data. The update unit updates the parameter so that a sum of errors between the assigned estimation label and a corresponding true label in the teaching data in the plurality of data items has a minimum value. Therefore, the plurality of data items constituting a hierarchical structure can be classified while preventing deterioration of classification accuracy.

Abstract: A highly precise synonym determination is performed, and a synonym dictionary is automatically created from a text. The text is segmented into multiple words. A topic classification is carried out, a topic word is selected from the multiple words, and a reference word characterizing each topic is extracted from the topic word. Multiple vectors respectively expressing the multiple words are obtained. A similar word is selected from the multiple words, such that the similarity between the vector expressing the reference word and the vector expressing each similar word exceeds a set reference. The synonym dictionary is created in which at least a part of the similar word has been registered.

Abstract: An additional storage processing part additionally stores, in a test information table, data relating to a test to be performed, each time any one of a plurality of tests is performed. An updating part updates the corresponding record in a skill level table each time the test is performed, and then an additional storage by the additional storage processing part is executed. A man-hour computing part executes the process of estimating a test man-hour relating to an evaluator and a test designated in accordance with the contents of a display in a display part. Thus, a test man-hour estimating apparatus can accurately estimate the man-hour of the test the evaluator performs repeatedly, based to the data stored in the test information table and the skill level table.

Abstract: A hardware-information acquisition part, in the case of modification or addition to hardware configurations of semiconductor manufacturing devices to be managed, obtains that update information. To check the range of influence of a failure, as a first step, a software-condition conforming device extracting part extracts devices which have installed software related to the failure. Then, a hardware-condition conforming device extracting part determines, according to the information obtained by the hardware information acquisition part, whether the extracted devices satisfy hardware conditions under which the failure occurs, and if so, extracts those devices as the ones affected by the failure. Accordingly, even in the case of modification or addition to hardware, it is possible to ensure traceability of failures or requirements and thereby to identify the range of influence of failures with efficiency and reliability.

Abstract: In a test case selection apparatus according to the present invention, a parameter setting unit 22 displays a test case selection dialogue 400, etc., on a display screen of a display section 40, and test cases that are tentatively determined to be tested in the current round of testing is selected based on various parameters received from the operator. A simulation executing unit 23 calculates a time period predicted to be required for testing test cases, and displays the prediction result in the form of a graph indicating a temporal change in the number of tests. With this configuration, the user can predict an achieved status of testing based on the prediction result, and repeat suitable changes to the various parameters, thereby suitably selecting test cases to obtain a preferably achieved status of testing.

Abstract: A status transition table generation portion generates a status transition table containing combination information cells provided in the form of a matrix for describing information corresponding to combinations of internal status and event. In a status transition table design support portion, a test path generation portion generates a test path including a series of test cases to be executed as a status transition test, based on information accepted by an operation specification information input acceptance portion. In a test support portion, a test cell highlight portion highlights a combination information cell associated with the next test case to be executed, during execution of the status transition test, and a test result history, an error replication procedure, and test progress are displayed on a display portion.

Abstract: A fault management system is provided with a fault data entry accepting portion for accepting entry of fault data including indicator data for assessing three fault assessment items in four assessment grades, a fault data holding portion for storing the fault data, a fault data prioritizing portion for prioritizing the fault data in the order of addressing faults, a customer profile data entry accepting portion for accepting entry of customer profile data indicative of degrees of requirement by each customer regarding the three assessment items and the importance of customers to the user, and a customer profile data holding portion for storing the customer profile data. The fault data prioritizing portion prioritizes the fault data based on assessment values regarding the three assessment items.

Abstract: A paid operation queue Q1 and a trial operation queue Q2 are provided within an output operation execution system. Each request for execution of an operation job from a client device is entered into either the paid operation queue Q1 or the trial operation queue Q2. An operation job is selected and executed to generate image output data. A paid operation job is selected in precedence to a trial operation job. The image output data thus obtained is temporarily stored into a storage device. If the executed operation job is a paid operation job, the image output data is transferred to the client device without undesired modification, and if the executed operation job is a trial operation job, the image output data is added with a trial-job mark and then is transferred to the client device.

Abstract: A hardware-information acquisition part, in the case of modification or addition to hardware configurations of semiconductor manufacturing devices to be managed, obtains that update information. To check the range of influence of a failure, as a first step, a software-condition conforming device extracting part extracts devices which have installed software related to the failure. Then, a hardware-condition conforming device extracting part determines, according to the information obtained by the hardware information acquisition part, whether the extracted devices satisfy hardware conditions under which the failure occurs, and if so, extracts those devices as the ones affected by the failure. Accordingly, even in the case of modification or addition to hardware, it is possible to ensure traceability of failures or requirements and thereby to identify the range of influence of failures with efficiency and reliability.

Abstract: In a test case selection apparatus according to the present invention, a parameter setting unit 22 displays a test case selection dialogue 400, etc., on a display screen of a display section 40, and test cases that are tentatively determined to be tested in the current round of testing is selected based on various parameters received from the operator. A simulation executing unit 23 calculates a time period predicted to be required for testing test cases, and displays the prediction result in the form of a graph indicating a temporal change in the number of tests. With this configuration, the user can predict an achieved status of testing based on the prediction result, and repeat suitable changes to the various parameters, thereby suitably selecting test cases to obtain a preferably achieved status of testing.

Abstract: A test specification table has a plurality of test cases stored therein. A test case table has stored therein test execution information per test case in each test project. A test performance table has stored therein the number of actual man-days for testing per test specification in each test project. In a progress estimation process, the number of man-days estimated to be required for subsequent test execution in the current test project is calculated based on past test execution information and the number of actual man-days in the past. Furthermore, an estimated time period is calculated based on the number of estimated man-days and the number of involved workers. Thereafter, estimated test progress is displayed in the form of a graph in a graph area of a scheduled performance display dialog.

Abstract: In a development support system, an influence extent management database is previously created and stored. The extent of influence of correction, if any, of each “request” (or “program”) is stored in the influence extent management database. Thus, associations are established between a “request,” a program required to be corrected when the request is corrected, and a test case required to be executed after the correction. Associations are also established between a “program” and a test case required to be executed when the program is corrected. When an instruction to correct a program is provided, for example, because of the occurrence of a failure, the development support system specifies the “program” to be corrected to acquire the extent of influence of the “program” from the influence extent management database, thereby executing only a test case included in the acquired influence extent as an operation retest.

Abstract: An additional storage processing part additionally stores, in a test information table, data relating to a test to be performed, each time any one of a plurality of tests is performed. An updating part updates the corresponding record in a skill level table each time the test is performed, and then an additional storage by the additional storage processing part is executed. A man-hour computing part executes the process of estimating a test man-hour relating to an evaluator and a test designated in accordance with the contents of a display in a display part. Thus, a test man-hour estimating apparatus can accurately estimate the man-hour of the test the evaluator performs repeatedly, based to the data stored in the test information table and the skill level table.

Abstract: A test case table stores created test cases and round-by-round test results for each test case. The operator uses a test case extraction dialogue to set test case thinning factors, and also uses a thinning parameter setting dialogue to set a priority order among logics applied for test case extraction. When a test case extraction process is executed, each test case is assigned a priority level for extraction based on the round-by-round test results for each test case in accordance with the set priority order among the logics. High-priority test cases are extracted based on the set thinning factors.