Burlington, VT, United States of America

Craig Atherton


Average Co-Inventor Count = 1.0


Company Filing History:


Years Active: 2025

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1 patent (USPTO):Explore Patents

Title: Innovations of Craig Atherton

Introduction

Craig Atherton is an accomplished inventor based in Burlington, VT (US). He has made significant contributions to the field of computer science, particularly in enhancing random test generation through innovative methods. His work is recognized for its practical applications in improving the efficiency of testing processes.

Latest Patents

Craig holds a patent titled "Instruction stream retrograding to enhance random test generation." This invention involves a computer system, computer-readable storage medium, and a computer-implemented method designed to retrograde an instruction stream to improve random test generation. The method includes generating a test case for a design-under-test (DUT) by positioning one or more placeholder instructions within the test case. It also identifies one or more benefiting instructions and executes the test case by replacing the placeholder instructions with respective retrograding instructions. These retrograding instructions are crucial as they influence the benefiting instructions, thereby enhancing the overall testing process.

Career Highlights

Craig Atherton is currently employed at International Business Machines Corporation, commonly known as IBM. His role at IBM allows him to apply his innovative ideas and contribute to the advancement of technology in the industry. His dedication to his work and his inventive spirit have made him a valuable asset to his team.

Collaborations

Craig collaborates with talented individuals in his field, including his coworker Michal Rimon. Together, they work on projects that push the boundaries of technology and innovation.

Conclusion

Craig Atherton's contributions to the field of computer science through his patent and work at IBM highlight his role as a significant inventor. His innovative methods for enhancing random test generation demonstrate the impact of his work on improving testing processes in technology.

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