Redmond, WA, United States of America

Xuechun Li


Average Co-Inventor Count = 6.0

ph-index = 1


Company Filing History:


Years Active: 2014-2015

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2 patents (USPTO):Explore Patents

Title: Innovations by Xuechun Li

Introduction

Xuechun Li is an accomplished inventor based in Redmond, WA (US). He has made significant contributions to the field of test automation, holding a total of 2 patents. His work focuses on creating innovative solutions that enhance the efficiency and effectiveness of testing processes.

Latest Patents

Xuechun Li's latest patents include "Generated Object Model for Test Automation" and "Multi-Path Brokered Test Automation Execution." The first patent describes a generated object model engine that abstracts actions used in test cases, allowing for the creation of new object model types independent of the underlying code implementation. This engine analyzes action classes to aggregate actions with similarly-related class types, forming a new object model type that can be utilized in test cases to conceal the action's code implementation. The second patent outlines a method for executing test cases with actions running through multiple execution paths, facilitated by an action broker. This broker identifies available automation implementations and selects between them using a priority list, while also managing the conversion of results for use across different execution paths.

Career Highlights

Xuechun Li is currently employed at Microsoft Technology Licensing, LLC, where he continues to innovate in the realm of test automation. His work has been instrumental in advancing the capabilities of automated testing, making it more adaptable and efficient.

Collaborations

Xuechun has collaborated with notable colleagues such as Kristopher Makey and Ryan J Cavanaugh, contributing to a dynamic and innovative work environment.

Conclusion

Xuechun Li's contributions to test automation through his patents reflect his commitment to innovation and excellence in technology. His work continues to influence the field, paving the way for more efficient testing methodologies.

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