Company Filing History:
Years Active: 2020-2023
Title: Sigal Ishay: Innovator in Software Development
Introduction
Sigal Ishay is a prominent inventor based in Yehud, Israel. She has made significant contributions to the field of software development, holding a total of 3 patents. Her work focuses on enhancing the quality and reliability of software projects through innovative methodologies.
Latest Patents
One of her latest patents is titled "Anomaly identification within software project under development." This invention involves collecting quality indicators related to various functional areas of a software project. Each quality indicator is normalized to the coverage of its corresponding functional area. The normalized indicators are then correlated with previously identified anomalies, resulting in an anomaly indicative value that helps estimate the likelihood of unidentified anomalies. Additionally, an anomaly score is calculated for each functional area, indicating the potential for undiscovered issues.
Another significant patent is "Automated testing of program code under development." This invention addresses automated test failures by focusing on those that occur for the first time due to defects in either the automated test code or the program code itself. The remaining automated test failures are clustered into groups, each corresponding to different defects. This method streamlines the identification of issues, enhancing the overall testing process.
Career Highlights
Sigal Ishay currently works at Micro Focus LLC, where she applies her expertise in software development and testing. Her innovative approaches have contributed to the advancement of quality assurance practices in the industry.
Collaborations
Throughout her career, Sigal has collaborated with notable colleagues, including Ilan Shufer and Shaul Strachan. These partnerships have fostered a collaborative environment that encourages the exchange of ideas and innovation.
Conclusion
Sigal Ishay is a trailblazer in the realm of software development, with a focus on anomaly detection and automated testing. Her contributions are shaping the future of quality assurance in software projects.