Patents by Inventor Michael IANNICELLI

Michael IANNICELLI 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).

  • Identification and visualization of associations among code generated from a model and sources that affect code generation
    Patent number: 10915302
    Abstract: A system determines what aspects of input sources contribute to code generation and provides associations between the input sources and components of features of the generated code. These associations may be visualized by displaying visual cues of the associations. The input sources may be of different types, including but not limited to a model, a code generator and values for atomic configuration setting for code generation. The visual cue that is displayed may take the form of a visible connection between the input sources and the relative portion or portions of the generated programming code. Suggestions may be generated in response to edits to the generated programming code as to how the sources may be modified to provide desired changes in the generated programming code. Analysis may be performed to identify artifacts in the generated programming code and associations to the sources may be identified to specify what source contributed to portions of the generated programming code.
    Type: Grant
    Filed: April 12, 2019
    Date of Patent: February 9, 2021
    Assignee: The MathWorks, Inc.
    Inventors: Xiaocang Lin, Wuwei Liang, Sherman Braganza, Wei Wang, Yong Huang, Michael Iannicelli
  • IDENTIFICATION AND VISUALIZATION OF ASSOCIATIONS AMONG CODE GENERATED FROM A MODEL AND SOURCES THAT AFFECT CODE GENERATION
    Publication number: 20200183658
    Abstract: A system determines what aspects of input sources contribute to code generation and provides associations between the input sources and components of features of the generated code. These associations may be visualized by displaying visual cues of the associations. The input sources may be of different types, including but not limited to a model, a code generator and values for atomic configuration setting for code generation. The visual cue that is displayed may take the form of a visible connection between the input sources and the relative portion or portions of the generated programming code. Suggestions may be generated in response to edits to the generated programming code as to how the sources may be modified to provide desired changes in the generated programming code. Analysis may be performed to identify artifacts in the generated programming code and associations to the sources may be identified to specify what source contributed to portions of the generated programming code.
    Type: Application
    Filed: April 12, 2019
    Publication date: June 11, 2020
    Inventors: Xiaocang LIN, Wuwei LIANG, Sherman BRAGANZA, Wei WANG, Yong HUANG, Michael IANNICELLI