Round Rock, TX, United States of America

Derwin D Gavin


Average Co-Inventor Count = 4.0

ph-index = 1

Forward Citations = 6(Granted Patents)


Company Filing History:


Years Active: 2008

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1 patent (USPTO):

Title: Derwin D Gavin: Innovator in System Testing

Introduction

Derwin D Gavin is a notable inventor based in Round Rock, TX (US). He has made significant contributions to the field of information processing systems, particularly in the area of system testing. His innovative approach has led to the development of a unique patent that enhances the efficiency of program testing.

Latest Patents

Derwin D Gavin holds a patent for an "In-cycle system test adaptation." This patent discloses a method, information processing system, and computer-readable medium for performing a system test on a program. The method involves creating a test plan associated with a system test designed to evaluate a program within a specific environment. The test plan defines at least one test trigger to be monitored during the system test. The execution of the system test is monitored for the occurrence of this test trigger, and upon its detection, the test plan is modified accordingly. This adaptive approach allows for continued execution of the system test based on the updated plan, ensuring thorough evaluation and reliability.

Career Highlights

Derwin D Gavin is associated with International Business Machines Corporation (IBM), where he has contributed to various projects and innovations. His work focuses on improving system testing methodologies, which are crucial for software development and quality assurance.

Collaborations

Throughout his career, Derwin has collaborated with talented individuals such as Michael E Browne and Andrew P Wack. These collaborations have fostered an environment of innovation and have led to advancements in their respective fields.

Conclusion

Derwin D Gavin's contributions to system testing through his patent and work at IBM highlight his role as an influential inventor. His innovative methods continue to shape the landscape of information processing systems, ensuring more effective program evaluations.

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