Austin, TX, United States of America

Viktors Bertsis


Average Co-Inventor Count = 8.0

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2008-2012

where 'Filed Patents' based on already Granted Patents

3 patents (USPTO):

Title: Innovations by Viktors Bertsis

Introduction

Viktors Bertsis is an accomplished inventor based in Austin, Texas. He has made significant contributions to the field of software optimization, holding three patents to his name. His work focuses on minimizing redundancy in software testing, which is crucial for enhancing efficiency in software development.

Latest Patents

One of Viktors Bertsis's latest patents is a method and system for optimizing configuration classification of software. This innovative approach aims to reduce redundancy in testing new software systems by utilizing a knowledge base. The knowledge base is represented in the form of a decision tree, which includes leaf nodes that store previously tested optimal configurations. When an optimal configuration is not found in the knowledge base, the system can determine a solution by adding a new decision tree branch. This method allows for the selection of desirable tree branches from a predetermined set, ultimately limiting the number of solutions to be tested and reducing the cost and effort associated with redundant tests.

Career Highlights

Viktors Bertsis 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 software technologies. His expertise in software optimization has positioned him as a valuable asset within the company.

Collaborations

Viktors has collaborated with notable coworkers, including Kenneth Michael Ashcraft and Flavio Alvarenga Bergamaschi. These collaborations have likely enriched his work and contributed to the development of his innovative patents.

Conclusion

Viktors Bertsis is a prominent inventor whose work in software optimization has led to significant advancements in the field. His patents reflect a commitment to improving efficiency in software testing, making him a key figure in the industry.

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