Sarah Beschorner

Title: Sarah Beschorner: Innovator in Machine Learning for Software Testing

Introduction

Sarah Beschorner is a prominent inventor based in Aachen, Germany. She has made significant contributions to the field of software testing through her innovative techniques that leverage machine learning. Her work focuses on enhancing the efficiency and effectiveness of software testing processes.

Latest Patents

Sarah holds a patent for a machine-learning based software testing technique. This technique involves training a model to determine test cases for software testing. The approach is built on a set of test cases designed for various software modules within the software being tested. By utilizing artificial intelligence, the technique gathers log information from the execution of each test case. This log information is collected per software module and executed test case. Subsequently, supervised machine learning is performed using this log information to train a model that predicts the executed test case.

Career Highlights

Sarah is currently employed at Telefonaktiebolaget LM Ericsson (publ), where she applies her expertise in machine learning to improve software testing methodologies. Her innovative approach has positioned her as a key figure in her field, contributing to advancements in software quality assurance.

Collaborations

Throughout her career, Sarah has collaborated with notable colleagues, including Nikolas Hermanns and Magued Sedra. These partnerships have fostered a collaborative environment that encourages innovation and the sharing of ideas.

Conclusion

In summary, Sarah Beschorner is a trailblazer in the realm of machine learning for software testing. Her patented techniques and collaborative efforts continue to shape the future of software quality assurance.