This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Dell Products Inc.. Active years: 2026.
Company Filing History:
Years Active: 2026
Title: Innovations by Songlin Hou in Code Anomaly Detection
Introduction
Songlin Hou is an accomplished inventor based in Worcester, MA (US). He has made significant contributions to the field of software engineering, particularly in the area of code anomaly detection. His innovative approach utilizes machine learning techniques to enhance the reliability and efficiency of source code analysis.
Latest Patents
Songlin Hou holds a patent for "Detecting code anomalies in source code using machine learning techniques." This patent encompasses methods, apparatus, and processor-readable storage media designed to identify code anomalies. The patented method involves parsing source code from various repositories to create tokens based on the programming language's syntax. It processes these tokens using a machine learning model to generate input embeddings. Subsequently, a second machine learning model detects anomalies across multiple programming languages, triggering automated actions in response to identified issues. This innovative approach significantly improves the detection of code anomalies, ensuring higher code quality and reliability.
Career Highlights
Songlin Hou is currently employed at Dell Products Inc., where he applies his expertise in machine learning and software development. His work focuses on enhancing software tools and methodologies that improve code quality and developer productivity. With a strong background in computer science, he has been instrumental in advancing the capabilities of software engineering practices.
Collaborations
Some of Songlin Hou's notable coworkers include David Sydow and Anil Kumar Koluguri. Their collaborative efforts contribute to the innovative projects at Dell Products Inc., fostering a culture of creativity and technological advancement.
Conclusion
Songlin Hou's contributions to code anomaly detection through machine learning techniques exemplify the impact of innovation in software engineering. His patent and work at Dell Products Inc. highlight the importance of advancing technology to improve code quality and developer efficiency.