Company Filing History:
Years Active: 2004
Title: The Innovations of Stephen N. Freund in Concurrent Program Analysis
Introduction
Stephen N. Freund, an esteemed inventor based in Palo Alto, California, has made significant strides in the realm of computer programming and data verification. With one patent to his name, he has contributed valuable insights into the analysis of concurrent program behavior, particularly in detecting potential race conditions.
Latest Patents
Freund's sole patent, titled "Method and apparatus for verifying data local to a single thread," offers a detailed approach to concurrent program analysis. This innovative method focuses on identifying potential race conditions, such as data races, within computer programs. A key feature of this patent is the verification of annotations related to addressable resources in a program. Specifically, it checks the validity of thread-local and thread-shared data spaces, ensuring that thread-local resources are accurately marked and that shared data does not incorrectly appear as thread-local. By analyzing the source code for annotated elements, Freund's technology aims to prevent erroneous thread-local annotations that may lead to race conditions in concurrent execution environments.
Career Highlights
Freund is currently affiliated with the Hewlett-Packard Development Company, L.P., where he has further developed his expertise in computer science and software engineering. His experience at such a renowned technology company has equipped him with a robust understanding of the challenges and innovations within the field.
Collaborations
One notable collaboration that Freund has engaged in is with his colleague, Cormac Andrias Flanagan. Together, they have worked towards advancing the domain of concurrent programming, integrating various methodologies that enhance the reliability and efficiency of software development.
Conclusion
In conclusion, Stephen N. Freund is a pivotal figure in the field of computer program analysis, particularly regarding race condition detection. Through his innovative patent and collaborations, he continues to influence best practices within the software engineering community, showcasing the importance of reliable concurrent programming.