This inventor holds 1 USPTO granted patent. Top assignee: Dell Products Inc.. Active years: 2022.
Company Filing History:
Years Active: 2022
Title: Kiran Kumar Gadamshetty: Innovator in Software Quality Forecasting
Introduction
Kiran Kumar Gadamshetty is a notable inventor based in Bengaluru, India. He has made significant contributions to the field of software development, particularly in the area of quality forecasting using machine learning techniques. His innovative approach aims to enhance the reliability of software releases, which is crucial in today's fast-paced technological landscape.
Latest Patents
Kiran holds a patent for a method titled "Forecasting a quality of a software release using machine learning." This patent involves a server that retrieves and analyzes test results associated with a software package. The server calculates various indices, including a software feature index, defect index, test coverage index, release reliability index, and operational quality index. By employing a machine learning algorithm, such as a time series forecasting algorithm, the server can predict the release status of the software package. This prediction helps determine whether the software should advance to the next phase of its development cycle.
Career Highlights
Kiran is currently employed at Dell Products Inc., where he applies his expertise in software quality assurance and machine learning. His work focuses on improving software development processes and ensuring high-quality releases. With a strong background in technology and innovation, Kiran has established himself as a valuable asset in his field.
Collaborations
Kiran collaborates with talented professionals, including his coworkers Rohan Sharma and Sibi Philip. Together, they work on various projects that aim to push the boundaries of software quality and reliability.
Conclusion
Kiran Kumar Gadamshetty is a pioneering inventor whose work in software quality forecasting is making a significant impact in the tech industry. His innovative patent demonstrates the potential of machine learning in enhancing software development processes. Kiran's contributions are paving the way for more reliable software releases in the future.