Patents by Inventor Zhong Shi Wang

Zhong Shi Wang has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Patent number: 11561881
    Abstract: A method, system, and computer program product for detecting out-of-date runbooks are disclosed. The method may include generating a defect corresponding to an alert on a running workload system. The method may further include, in response to generating the defect in the running workload system, automatically obtaining an identification of a runbook based on information of the alert, automatically accessing the runbook based on the identification of the runbook, the runbook including instructions for fixing the defect, automatically parsing the instructions to obtain executable operations, and automatically executing the executable operations on the running workload system. The method may further include, in response to detecting that the alert is not solved on the running workload system after a predefined period, automatically determining that the runbook is out-of-date, and automatically generating a runbook out-of-date signal.
    Type: Grant
    Filed: April 22, 2021
    Date of Patent: January 24, 2023
    Assignee: International Business Machines Corporation
    Inventors: Xin Cui, Zhong Shi Wang, Chang Zhi G Z Zhang, Li Gu, Li Wen, Guang Yi Xu
  • Publication number: 20220342796
    Abstract: A method, system, and computer program product for detecting out-of-date runbooks are disclosed. The method may include generating a defect corresponding to an alert on a running workload system. The method may further include, in response to generating the defect in the running workload system, automatically obtaining an identification of a runbook based on information of the alert, automatically accessing the runbook based on the identification of the runbook, the runbook including instructions for fixing the defect, automatically parsing the instructions to obtain executable operations, and automatically executing the executable operations on the running workload system. The method may further include, in response to detecting that the alert is not solved on the running workload system after a predefined period, automatically determining that the runbook is out-of-date, and automatically generating a runbook out-of-date signal.
    Type: Application
    Filed: April 22, 2021
    Publication date: October 27, 2022
    Inventors: Xin Cui, Zhong Shi Wang, Chang Zhi GZ Zhang, Li Gu, Li Wen, Guang Yi Xu
  • Patent number: 10296307
    Abstract: The present invention is a system and method for template extraction based on source code similarity. The system receives source code and groups the class files into classes based on naming rules and inheritance hierarchy. Features are parsed for each class and encoded a float value. The classes are clustered based on similarities of the features. A similarity value is calculated for the classes in a cluster and potential candidate classes are selected based on the similarity value or inheritance hierarchy. A feature subset is selected across all candidate classes and differences in the features in the subset are determined. The features are then decoded and the differences are parameterized to generate a template. A variable definition file is created to cross-reference features and variables. Source code can then be generated using the template and the variable definition file.
    Type: Grant
    Filed: May 16, 2017
    Date of Patent: May 21, 2019
    Assignee: International Business Machines Corporation
    Inventors: Liang K S Lu, Teng Sun, Zhong Shi Wang, Zhe Li Yu
  • Publication number: 20180336018
    Abstract: The present invention is a system and method for template extraction based on source code similarity. The system receives source code and groups the class files into classes based on naming rules and inheritance hierarchy. Features are parsed for each class and encoded a float value. The classes are clustered based on similarities of the features. A similarity value is calculated for the classes in a cluster and potential candidate classes are selected based on the similarity value or inheritance hierarchy. A feature subset is selected across all candidate classes and differences in the features in the subset are determined. The features are then decoded and the differences are parameterized to generate a template. A variable definition file is created to cross-reference features and variables. Source code can then be generated using the template and the variable definition file.
    Type: Application
    Filed: May 16, 2017
    Publication date: November 22, 2018
    Inventors: Liang KS Lu, Teng Sun, Zhong Shi Wang, Zhe LI Yu