Patents by Inventor Ching-Pao Chang

Ching-Pao Chang 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: 7856616
    Abstract: An action-based in-process software defect prediction (ABDP) applies classifying records of a performed action to predict whether subsequent actions cause defects in a project. A performed action is previously defined herein as an operation performed based on tasks in Work Breakdown Structure (WBS) of the project. Rather than focusing on the reported defects, ABDP discovers the patterns of the performed action that may cause defects composing a historic data set, and uses analytical results to predict whether the subsequent actions are likely to generate defects composing another historic data set. Once actions with high probability of causing the defects are identified, stakeholders review these actions carefully and take appropriate corrective actions to create a fresh performed action. The fresh performed action is continually appended to the historic data sets of amending the defects to construct a new prediction model for further subsequent actions.
    Type: Grant
    Filed: April 17, 2007
    Date of Patent: December 21, 2010
    Assignee: National Defense University
    Inventors: Ching-Pao Chang, Chih-Ping Chu
  • Publication number: 20100145994
    Abstract: A service recommendation system, an operating method thereof, and a device containing computer software are provided. The system includes a label module, a service equipment, and a server device. The label module having an ID data of the user is carried by a user. The service equipment has a detection module and a control interface. The detection module obtains and outputs the ID data. The server device includes a database, a determination module, and a service setting module. The database stores a standard model and a user model. The determination module matches the ID data to the database. When the user model corresponding to the ID data exists in the database, the service setting module sets an operating mode according to the user model. When the user model corresponding to the ID data does not exist, the service setting module sets an operating mode according to the standard model.
    Type: Application
    Filed: December 23, 2008
    Publication date: June 10, 2010
    Applicant: INSTITUTE FOR INFORMATION INDUSTRY
    Inventors: Ching-Pao CHANG, Chi-Lu YANG, Chih-Ping CHU, Yeim-Kuan CHANG
  • Publication number: 20080263507
    Abstract: An action-based in-process software defect prediction (ABDP) applies classifying records of a performed action to predict whether subsequent actions cause defects in a project. A performed action is previously defined herein as an operation performed based on tasks in Work Breakdown Structure (WBS) of the project. Rather than focusing on the reported defects, ABDP discovers the patterns of the performed action that may cause defects composing a historic data set, and uses analytical results to predict whether the subsequent actions are likely to generate defects composing another historic data set. Once actions with high probability of causing the defects are identified, stakeholders review these actions carefully and take appropriate corrective actions to create a fresh performed action. The fresh performed action is continually appended to the historic data sets of amending the defects to construct a new prediction model for further subsequent actions.
    Type: Application
    Filed: April 17, 2007
    Publication date: October 23, 2008
    Inventors: Ching-Pao Chang, Chih-Ping Chu