Milton, Canada

Fahad A Khan


Average Co-Inventor Count = 6.0

ph-index = 1

Forward Citations = 9(Granted Patents)


Company Filing History:


Years Active: 2019

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2 patents (USPTO):

Title: The Innovator Fahad A Khan: Pioneering Regression Testing

Introduction

Fahad A Khan is an accomplished inventor based in Milton, CA, known for his innovative contributions to the field of software testing. With a significant focus on improving regression testing methodologies, Khan has secured two patents that showcase his dedication to enhancing the efficiency of software development processes.

Latest Patents

Khan's latest patent is centered around "Proactive and Selective Regression Testing Based on Historic Test Results." This ingenious approach aims to reduce the duration of regression tests by utilizing historic test data. The process involves one or more computer processors receiving a code change and then retrieving related historic code changes. By determining the relevance of previously failed test cases to these historic changes, the system can selectively focus on testing areas that are most likely to yield insights, drastically improving testing efficiency.

Career Highlights

Fahad A Khan is currently associated with International Business Machines Corporation (IBM), a renowned leader in technology and innovation. His work at IBM has made significant strides in refining software development techniques, showcasing his role as a vital contributor to the company’s innovative ventures.

Collaborations

Throughout his career, Khan has collaborated with notable colleagues such as Adam K D'Andrea and Jenna R Elliott. These partnerships have facilitated a fusion of ideas and expertise, enhancing the impact of their work within the technologically advanced environment at IBM.

Conclusion

Fahad A Khan stands out as a forward-thinking inventor whose patents reflect a deep understanding of the software testing landscape. Through his innovative approaches and collaborative spirit, Khan continues to make a significant difference in the efficiency of software development practices, paving the way for future advancements in the industry.

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