Company Filing History:
Years Active: 2007-2009
Title: Kshitiz K Sharma: Innovator in Software Diagnostics
Introduction
Kshitiz K Sharma is a notable inventor based in Bellevue, WA (US). He has made significant contributions to the field of software diagnostics, holding 2 patents that address critical issues in program debugging and error analysis. His work is instrumental in enhancing the reliability and efficiency of software systems.
Latest Patents
Kshitiz's latest patents include "Execution failure investigation using static analysis" and "Automatic root cause analysis and diagnostics engine." The first patent focuses on identifying the location of program failures during debugging. It utilizes static analysis to determine potential causes of failures, such as buffer overflows, by analyzing the stack and related storage structures. This innovative approach simplifies the process of diagnosing complex issues, saving time and effort for developers.
The second patent addresses the common problem of software hangs. It involves capturing data from a hung program and extracting relevant attributes to classify the hang as known or unknown. This method allows for effective troubleshooting and provides users with solutions to known bugs, while also facilitating the analysis of unknown issues by software providers.
Career Highlights
Kshitiz K Sharma is currently employed at Microsoft Technology Licensing, LLC, where he continues to develop innovative solutions in software diagnostics. His expertise in static analysis and root cause analysis has positioned him as a valuable asset in the tech industry.
Collaborations
Kshitiz has collaborated with notable colleagues such as William Hunter Hudson and Reiner Fink. Their combined efforts contribute to advancing the field of software diagnostics and improving the overall quality of software products.
Conclusion
Kshitiz K Sharma's contributions to software diagnostics through his patents demonstrate his commitment to innovation and problem-solving in the tech industry. His work not only enhances debugging processes but also improves user experiences by addressing software reliability issues.