Shanghai, China

Tingxian Cheng


Average Co-Inventor Count = 6.0

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2018

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2 patents (USPTO):Explore Patents

Title: Innovations of Tingxian Cheng in Performance Response Time Measurement

Introduction

Tingxian Cheng is an accomplished inventor based in Shanghai, China. He has made significant contributions to the field of software testing techniques, particularly through his innovative use of image recognition technology. With a total of 2 patents, Cheng continues to push the boundaries of performance measurement in software applications.

Latest Patents

Cheng's latest patents focus on a system and method for end-to-end performance response time measurement based on graphic recognition. This innovative approach involves training a programmatically implemented image classifier to recognize screen shot images associated with transaction end conditions. The process begins with running a test script to initiate a transaction iteration, during which the start time is recorded. As the transaction progresses, a series of screen shot images are generated to capture the user interface display. The image classifier then identifies the earliest-captured image that matches the transaction end condition. The time associated with this matched image is utilized to compute the end-to-end time required to complete the transaction iteration.

Career Highlights

Cheng is currently employed at Open Text Corporation, where he applies his expertise in software testing and image recognition. His work has been instrumental in enhancing the efficiency and accuracy of performance response time measurements in various applications.

Collaborations

Cheng collaborates with talented coworkers, including Hong Yuan and Xiaochen Nie, who contribute to the innovative projects at Open Text Corporation.

Conclusion

Tingxian Cheng's contributions to the field of software testing through his innovative patents demonstrate his commitment to advancing technology. His work continues to influence the way performance response times are measured and analyzed in software applications.

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