Nvidia corporation (20240232050). SOFTWARE PROGRAM ERROR TESTING FOR AUTONOMOUS SYSTEMS AND APPLICATIONS simplified abstract
Contents
SOFTWARE PROGRAM ERROR TESTING FOR AUTONOMOUS SYSTEMS AND APPLICATIONS
Organization Name
Inventor(s)
Ashutosh Jain of SPSR Nellore (IN)
Neeraja Gubba of Bangalore (IN)
SOFTWARE PROGRAM ERROR TESTING FOR AUTONOMOUS SYSTEMS AND APPLICATIONS - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240232050 titled 'SOFTWARE PROGRAM ERROR TESTING FOR AUTONOMOUS SYSTEMS AND APPLICATIONS
The patent application relates to a software testing tool that identifies function calls and their corresponding errors during testing.
- The tool returns error codes instead of actual outputs during testing.
- It evaluates the downstream processing of the software based on the identified errors.
- The tool can automatically identify different error types associated with function calls.
- It assesses the software's performance in light of the errors detected.
- The tool provides a comprehensive evaluation of software functionality and error handling.
Potential Applications: This technology can be used in software development companies to improve the quality of their products. It can also be utilized in quality assurance departments to streamline the testing process and identify errors more efficiently.
Problems Solved: The technology addresses the challenge of identifying and evaluating errors in software code during testing. It helps developers and testers understand the impact of errors on software performance.
Benefits: Enhanced software quality and performance. Efficient identification and handling of errors. Streamlined testing process.
Commercial Applications: Title: "Enhancing Software Quality with Automated Error Identification Tool" This technology can be marketed to software development companies, quality assurance firms, and IT departments looking to improve their software testing processes.
Questions about the technology: 1. How does the software testing tool differentiate between internal and external function calls? 2. What are the key performance metrics used to evaluate software performance based on identified errors?
Original Abstract Submitted
one or more embodiments of the present disclosure relate to executing a software testing tool to identify function calls—internal and/or external—of software code and their corresponding errors. once identified—such as during an information gathering operation—the error codes may be returned in place of actual outputs of the function during testing, and the downstream processing of the software as a result of the errors may be evaluated. as such, an automatic software testing tool may be implemented that not only identifies functions calls and corresponding errors, but also evaluates performance of the software in view of the various different error types associated with the function calls.
