Palo Alto, CA, United States of America

Sha Chang


Average Co-Inventor Count = 7.0

ph-index = 1

Forward Citations = 2(Granted Patents)


Company Filing History:


Years Active: 2019-2020

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2 patents (USPTO):Explore Patents

Title: **Innovations by Inventor Sha Chang in Bug Report Detection**

Introduction

Sha Chang, an inventive mind based in Palo Alto, CA, has made significant contributions to the field of software engineering and machine learning. With two patents to his name, Chang is recognized for his innovative approach to improving bug report management in software systems, particularly while working at Oracle International Corporation.

Latest Patents

One of Sha Chang's notable patents is focused on the detection of duplicate bug reports using machine learning algorithms. This invention provides a systematic method to identify and classify bug reports as either duplicates or non-duplicates. The process involves identifying user-classifications for sets of bug reports, alongside correlation values between various features of those reports. This synergy of user data and correlation analysis leads to the development of a model that can effectively discern duplicate reports and enhance the feedback process in software development.

Career Highlights

Chang's role at Oracle International Corporation has been pivotal in advancing software quality assurance practices. Leveraging his expertise in machine learning, he has contributed to creating more efficient workflows for developers by streamlining the bug reporting process. His work not only optimizes the handling of bugs but also enables quicker resolutions that are vital in fast-paced software environments.

Collaborations

Throughout his career, Sha Chang has collaborated with distinguished colleagues like Prasad V Bagal and Sameer Arun Joshi, enhancing the breadth and impact of their collective innovations. These collaborations often lead to groundbreaking ideas and robust solutions that significantly benefit their projects and the broader technology community.

Conclusion

Sha Chang’s inventive contributions in the realm of duplicate bug report detection underscore his commitment to innovation and efficiency in software engineering. His patents are a testimony to the transformative power of machine learning in improving bug management systems, setting a benchmark for future advancements in the industry. As technology evolves, Chang’s work will continue to pave the way for novel solutions and a more effective software development lifecycle.

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