Abstract: Illustrative embodiments include a method, an electronic device, and a computer program product for test case generation. The method includes, in response to a target function of a system being developed, determining updated knowledge, corresponding to the target function, in a knowledge base for the system. The method further includes identifying at least one test path from the updated knowledge in the knowledge base based on a predetermined test range for the target function. The method further includes extracting a test object from each of the at least one test path to generate a test case for the target function. By this method, ontology-based automatic generation of test cases can be realized. For example, whenever a product is iteratively updated, incremental knowledge is used as a test target, which can ensure comprehensive coverage of a test strategy without missing any test points, while also improving efficiency and case quality.

Abstract: An apparatus in an illustrative embodiment comprises at least one processing device that includes at least a processor and a memory coupled to the processor. The at least one processing device is configured to obtain test step information in natural language, to apply the test step information to a machine learning system configured to map the test step information to one or more code functions, to determine values for one or more parameters in the one or more code functions, and to execute the one or more code functions in a test script execution environment utilizing the determined values for the one or more parameters. The machine learning system in some embodiments comprises a long short-term memory (LSTM) neural network configured to receive a sequence of text tokens of the test step information and to map the sequence of text tokens to a particular code function.

Abstract: The present application provides a water-soluble, partially biodegradable dihydroxyalkyl cellulose having about 0.7 to about 2.0 units of dihydroxyalkyl moiety per anhydroglucose moiety, having (i) a molecular weight of dihydroxyalkyl cellulose is in the range of from about 10,000 Daltons to about 1,500,000 Daltons, (ii) a biodegradation rate of ?3% in an aquatic medium, and (iii) a water solubility at a threshold level of 2 g/L. Also discloses a method for preparing dihydroxyalkyl cellulose and functionalized dihydroxyalkyl cellulose compounds and their use in personal care applications.

Abstract: Embodiments of the present disclosure relate to a method, an electronic device, and a computer program product for data synchronization. The method includes determining an environment state of a synchronization environment by monitoring an environmental metric for the synchronization environment. The method further includes selecting, based on the determined environment state, a synchronization operation for target data to be synchronized from a synchronization decision database. The method further includes initiating the synchronization operation between a first storage device and a second storage device in the synchronization environment. The method further includes updating the synchronization decision database in response to the synchronization operation being performed.

Abstract: Illustrative embodiments include a method, an electronic device, and a computer program product for test case generation. The method includes, in response to a target function of a system being developed, determining updated knowledge, corresponding to the target function, in a knowledge base for the system. The method further includes identifying at least one test path from the updated knowledge in the knowledge base based on a predetermined test range for the target function. The method further includes extracting a test object from each of the at least one test path to generate a test case for the target function. By this method, ontology-based automatic generation of test cases can be realized. For example, whenever a product is iteratively updated, incremental knowledge is used as a test target, which can ensure comprehensive coverage of a test strategy without missing any test points, while also improving efficiency and case quality.

Abstract: Embodiments of the present disclosure relate to a method, an electronic device, and a computer program product for data synchronization. The method includes determining an environment state of a synchronization environment by monitoring an environmental metric for the synchronization environment. The method further includes selecting, based on the determined environment state, a synchronization operation for target data to be synchronized from a synchronization decision database. The method further includes initiating the synchronization operation between a first storage device and a second storage device in the synchronization environment. The method further includes updating the synchronization decision database in response to the synchronization operation being performed.

Abstract: Embodiments of the present disclosure provide a method, device and computer-readable storage medium for managing virtual machines. In accordance with embodiments of the present disclosure, tags in a virtual machine system are selected based on condition information input by a user. The virtual machines are retrieved for the selected tags. In this way, less data is required to be transmitted over the network and less data is required to be processed in order to retrieve specific virtual machines.

Abstract: Embodiments of the present disclosure provide a method, device and computer-readable storage medium for managing virtual machines. In accordance with embodiments of the present disclosure, tags in a virtual machine system are selected based on condition information input by a user. The virtual machines are retrieved for the selected tags. In this way, less data is required to be transmitted over the network and less data is required to be processed in order to retrieve specific virtual machines.