Seattle, WA, United States of America

Craig Wilfred Pearce


Average Co-Inventor Count = 3.0

ph-index = 1

Forward Citations = 9(Granted Patents)


Company Filing History:


Years Active: 2021

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1 patent (USPTO):Explore Patents

Title: Craig Wilfred Pearce: Innovator in Fuzz Testing for Serverless Applications

Introduction

Craig Wilfred Pearce is an accomplished inventor based in Seattle, WA. He has made significant contributions to the field of software testing, particularly in the area of serverless applications. His innovative approach to fuzz testing has the potential to enhance the reliability and performance of software systems.

Latest Patents

Craig holds a patent for "Systems and methods for fuzz testing serverless software applications." This patent describes techniques for fuzz testing serverless software applications, which are implemented by a serverless compute service provided by a service provider network. Fuzz testing is an automated testing technique that involves a fuzzer client application providing invalid, unexpected, or random data as inputs to the software application being tested. This method helps discover software bugs and other runtime issues during the execution of the software.

Career Highlights

Craig is currently employed at Amazon Technologies, Inc., where he applies his expertise in software testing. His work focuses on improving the robustness of serverless applications through innovative testing methodologies. With a patent portfolio that includes 1 patent, Craig has established himself as a key player in the field of software innovation.

Collaborations

Craig has collaborated with notable colleagues such as Bryan Williams and Khai Tran. Their combined efforts contribute to the advancement of software testing techniques and the development of more reliable applications.

Conclusion

Craig Wilfred Pearce's contributions to fuzz testing for serverless applications represent a significant advancement in software reliability. His innovative techniques are paving the way for more robust software systems in the ever-evolving tech landscape.

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