Company Filing History:
Years Active: 2025
Title: Hao Yang - Innovator in Machine Learning for Software Quality Assurance
Introduction
Hao Yang is a prominent inventor based in Xi'an, China. He has made significant contributions to the field of software quality assurance through his innovative patent. His work focuses on enhancing the efficiency of software development processes, particularly in identifying duplicate crash dumps.
Latest Patents
Hao Yang holds a patent for a "Machine-learned model for duplicate crash dump detection." This invention utilizes a machine learning model to identify duplicate crash dumps that occur during the software testing phase. When developers submit code, various test cases are executed to ensure software quality. However, test failures such as crashes, errors, and timeouts can arise, leading to multiple duplicate failures. By automatically identifying these duplicates, the degree of automation in the development process is significantly enhanced. The training-based machine learning model leverages component information from an in-memory database system to improve crash similarity comparisons.
Career Highlights
Hao Yang is currently employed at SAP SE, where he applies his expertise in machine learning to improve software quality assurance. His innovative approach has the potential to streamline the development process and reduce the time developers spend resolving issues.
Collaborations
Hao Yang collaborates with talented colleagues, including Yang Xu and Yong Li, who contribute to the innovative environment at SAP SE. Their combined efforts foster a culture of creativity and technological advancement.
Conclusion
Hao Yang's contributions to the field of software quality assurance through his patent on duplicate crash dump detection exemplify the impact of machine learning in enhancing software development processes. His work continues to influence the industry and improve the efficiency of software delivery.