Del Myers

USPTO Granted Patents = 16 (Patent Applications = 1)

EPO Patents = 7 (Patent Applications = 11)

Average Co-Inventor Count = 6.6

ph-index = 3

Forward Citations = 27(Granted Patents)

Company Filing History:

15 out of 54,719

Microsoft Technology Licensing, LLC

Years Active: 2020-2024

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16 patents (USPTO):Sort by Forward CitationsExplore Patents

1. 11886322 - Automatically identifying a diagnostic analyzer applicable to a diagnostic artifact (2024-01-30),

2. 11755458 - Automatic software behavior identification using execution record (2023-09-12),

3. 11604720 - Identifying data inconsistencies and data contention based on historic debugging traces (2023-03-14),

4. 11249881 - Selectively tracing portions of computer process execution (2022-02-15),

5. 11138093 - Identifying data inconsistencies and data contention based on historic debugging traces (2021-10-05),

6. 11132280 - Automatically identifying and highlighting differences between historic traces (2021-09-28),

7. 11113182 - Reversible debugging in a runtime environment (2021-09-07),

8. 11074153 - Collecting application state in a runtime environment for reversible debugging (2021-07-27),

9. 10956304 - Dynamic diagnostic code instrumentation over a historic program execution (2021-03-23),

10. 10922210 - Automatic software behavior identification using execution record (2021-02-16),

11. 10877873 - Using historic execution data to visualize tracepoints (2020-12-29),

12. 10747645 - Selectively tracing portions of computer process execution (2020-08-18),

13. 10740219 - Selectively tracing portions of computer process execution (2020-08-11),

14. 10698792 - Execution control with cross-level trace mapping (2020-06-30),

15. 10592396 - Memory validity states in time-travel debugging (2020-03-17),

Title: Del Myers: Innovator in Diagnostic Analysis and Software Behavior Identification

Introduction

Del Myers is a prominent inventor based in Seattle, WA, known for his significant contributions to the fields of diagnostic analysis and software behavior identification. With a total of 16 patents to his name, Myers has developed innovative methods and systems that enhance the efficiency and accuracy of software diagnostics.

Latest Patents

Among his latest patents, one notable invention is focused on automatically identifying a diagnostic analyzer applicable to a diagnostic artifact. This invention involves methods, systems, and computer program products that utilize a confidence measure to determine the suitability of various diagnostic analyzers for specific diagnostic artifacts. The process includes calculating confidence measures based on heuristics specific to each analyzer, ultimately deciding which analyzers to include in the analysis of a particular artifact.

Another significant patent by Myers is centered on automatic software behavior identification using execution records. This invention leverages machine learning to analyze historical execution records and identify patterns corresponding to specific execution behaviors. By accessing execution traces that represent the software's performance in a particular environment, the system can automatically recognize the presence of certain behaviors within the software.

Career Highlights

Del Myers has had a distinguished career, working with notable companies such as Microsoft Technology Licensing, LLC and Workman Nydegger. His experience in these organizations has allowed him to refine his skills and contribute to groundbreaking innovations in software diagnostics.

Collaborations

Throughout his career, Myers has collaborated with talented individuals, including Jackson Michael Davis and Thomas Lai. These partnerships have fostered a creative environment that has led to the development of impactful technologies.

Conclusion

Del Myers stands out as an influential inventor whose work in diagnostic analysis and software behavior identification has made a lasting impact on the industry. His innovative patents and collaborative efforts continue to shape the future of software diagnostics.

This text is generated by artificial intelligence and may not be accurate.