Abstract: A computer-implemented method, system, and computer program product for identifying requirements in a document. A document including requirements is received. Attribute related information in the document is identified using an attribute model. Component information in the document is identified using a component model. The attribute related information and the component information identified in the document are merged. Requirements in the document are identified from the merged attribute related information and component information. The requirements identified in the document are used to develop a product.

Abstract: A computer-implemented method, system, and computer program product for identifying requirements in a document. A document including requirements is received. Attribute related information in the document is identified using an attribute model. Component information in the document is identified using a component model. The attribute related information and the component information identified in the document are merged. Requirements in the document are identified from the merged attribute related information and component information. The requirements identified in the document are used to develop a product.

Abstract: Aspects of the present disclosure describe techniques for generating a machine learning model for extracting information from textual content. The method generally includes receiving a training data set including a plurality of documents having related textual strings. A relevancy model is generated from the training data set. The relevancy model is generally configured to generate relevance scores for a plurality of words extracted from the plurality of documents. A knowledge graph model illustrating relationships between the plurality of words extracted from the plurality of documents is generated from the training data set. The relevancy model and the knowledge graph model are aggregated into a complimentary model including a plurality of nodes from the knowledge graph model and weights associated with edges between connected nodes, wherein the weights comprise relevance scores generated from the relevancy model, and the complimentary model is deployed for use in analyzing documents.

Abstract: The present invention provides methods and systems for saving and querying context data for an online application. The context data of an online application related to pages visited by a user are collected, where the context data is associated with page identifiers of the visited pages. A step-by-step path is generated based on the page identifiers of the pages visited by the user, and a context data record is generated and saved based on the collected context data and the step-by-step path. According to the methods and systems, a query term is further generated using on the collected context data and the step-by-step path, for performing query to the context data. By applying the methods and systems of the present invention to different contexts, the user is able to easily save and later reference the previous actual running data of some functional contexts.

Abstract: A method, and associated data processing system and computer program product, for generating test cases of different types for testing an application. A functional flow of the application is created based on a system design of the application. Additional test information corresponding to different stages of the functional flow with respect to a test types is generated. The generation of additional test information includes utilizing templates associated with the test types. The test cases are generated based on the additional test information and at least one test case generation rule. The test cases of different types are associated with one another.

Abstract: A method of determining maintenance sections of a rail includes partitioning the rail into a plurality of sections based on railway topographical information and track defect information; identifying, from the plurality of sections, sections whose sectional speed limits are lower than a recommended running speed; and determining, from the identified sections, sections which need maintenance.

Abstract: A method, and associated data processing system and computer program product, for generating test cases of different types for testing an application. A functional flow of the application is created based on a system design of the application. Additional test information corresponding to different stages of the functional flow with respect to a test types is generated. The generation of additional test information includes utilizing templates associated with the test types. The test cases are generated based on the additional test information and at least one test case generation rule. The test cases of different types are associated with one another.

Abstract: The present invention provides methods and systems for saving and querying context data for an online application. The context data of an online application related to pages visited by a user are collected, where the context data is associated with page identifiers of the visited pages. A step-by-step path is generated based on the page identifiers of the pages visited by the user, and a context data record is generated and saved based on the collected context data and the step-by-step path. According to the methods and systems, a query term is further generated using on the collected context data and the step-by-step path, for performing query to the context data. By applying the methods and systems of the present invention to different contexts, the user is able to easily save and later reference the previous actual running data of some functional contexts.