Patents Assigned to APPLAUSE APP QUALITY, INC.
  • Publication number: 20240411670
    Abstract: A test automation system is provided that enables “codeless” code test generation and execution. Various embodiments allow users to create automation tests, sets variables in test scripts, set validation criteria, etc. all without having to write code for the operation being tested. In some examples, the system is configured to provide access to mobile device emulation based on selection of or from any number of mobile devices. By automatically defining a suite of tests that can be run on a mobile device population, automated testing can improve validation of any developed software, functionality, and identification of test failures over many existing approaches. Once the codeless tests are created on the system, they can be scheduled to run repeatedly, periodically, a-periodically, all without supervision. Any errors can be communicated to the user, with recommendations to resolve, re-test, among other options.
    Type: Application
    Filed: August 15, 2024
    Publication date: December 12, 2024
    Applicant: Applause App Quality, Inc.
    Inventors: Jonathan W. Zaleski, Robert S. Mason, Leonardo Covarrubias
  • Patent number: 12093166
    Abstract: A test automation system is provided that enables “codeless” code test generation and execution. Various embodiments allow users to create automation tests, sets variables in test scripts, set validation criteria, etc. all without having to write code for the operation being tested. In some examples, the system is configured to provide access to mobile device emulation based on selection of or from any number of mobile devices. By automatically defining a suite of tests that can be run on a mobile device population, automated testing can improve validation of any developed software, functionality, and identification of test failures over many existing approaches. Once the codeless tests are created on the system, they can be scheduled to run repeatedly, periodically, a-periodically, all without supervision. Any errors can be communicated to the user, with recommendations to resolve, re-test, among other options.
    Type: Grant
    Filed: February 23, 2022
    Date of Patent: September 17, 2024
    Assignee: Applause App Quality, Inc.
    Inventors: Jonathan W. Zaleski, Robert S. Mason, Leonardo Covarrubias
  • Publication number: 20180217977
    Abstract: Computer-implemented methods and systems are disclosed for organizing user reviews, especially computer app reviews, into clusters and ranking the clusters so that the reviews may be more meaningfully analyzed.
    Type: Application
    Filed: March 26, 2018
    Publication date: August 2, 2018
    Applicant: Applause App Quality, Inc.
    Inventors: Heidi A. Young, Jason M. Stredwick, Yashas Mavianakere
  • Patent number: 9928233
    Abstract: Computer-implemented methods and systems are disclosed for organizing user reviews, especially computer app reviews, into clusters and ranking the clusters so that the reviews may be more meaningfully analyzed.
    Type: Grant
    Filed: November 12, 2014
    Date of Patent: March 27, 2018
    Assignee: Applause App Quality, Inc.
    Inventors: Heidi A. Young, Jason M. Stredwick, Yashas Mavianakere
  • Publication number: 20170300575
    Abstract: A computer-implemented method and system for quantifying and tracking software application quality based on aggregated user reviews.
    Type: Application
    Filed: June 28, 2017
    Publication date: October 19, 2017
    Applicant: Applause App Quality, Inc.
    Inventors: Jason Arbon, Jeffrey Carollo, Roy Solomon, Sebastian Schiavone-Ruthensteiner, Heidi A. Young, Jason M. Stredwick
  • Patent number: 9704171
    Abstract: A computer-implemented method and system for quantifying and tracking software application quality based on aggregated user reviews.
    Type: Grant
    Filed: June 5, 2013
    Date of Patent: July 11, 2017
    Assignee: Applause App Quality, Inc.
    Inventors: Jason Arbon, Jeffrey Carollo, Roy Solomon, Sebastián Schiavone-Ruthensteiner, Heidi A. Young, Jason M. Stredwick
  • Publication number: 20160132504
    Abstract: Computer-implemented methods and systems are disclosed for organizing user reviews, especially computer app reviews, into clusters and ranking the clusters so that the reviews may be more meaningfully analyzed.
    Type: Application
    Filed: November 12, 2014
    Publication date: May 12, 2016
    Applicant: APPLAUSE APP QUALITY, INC.
    Inventors: Heidi A. Young, Jason M. Stredwick, Yashas Mavianakere