Forough Poursabzi Sangdeh

Title: Forough Poursabzi Sangdeh: Innovator in Source Code Evaluation

Introduction

Forough Poursabzi Sangdeh is a notable inventor based in Manhasset, NY (US). She has made significant contributions to the field of software engineering, particularly in the evaluation of source code generators. With a total of two patents to her name, her work is recognized for its innovative approach to coding evaluation.

Latest Patents

Forough's latest patents focus on the "Coding activity task (CAT) evaluation for source code generators." This invention provides solutions for evaluating source code generators through both offline and online evaluation stages. The offline evaluation process involves separating input passages of software code into constituent blocks. Each code generator produces an equivalent block for each constituent block. A coding score is determined for each equivalent block, and these scores are aggregated to provide an overall score for each code generator. The aggregate scores are then ranked to select a smaller number of code generators for online evaluation. During the online stage, the code generators output software code passages, and user acceptance of these outputs is utilized for further ranking and selection. Some examples of this evaluation method include weighting the coding score based on a utility estimate of the constituent blocks.

Career Highlights

Forough Poursabzi Sangdeh is currently employed at Microsoft Technology Licensing, LLC. Her role involves leveraging her expertise in software engineering to enhance the evaluation processes of code generators. Her innovative contributions have positioned her as a key figure in her field.

Collaborations

Forough has collaborated with notable colleagues, including Victor Chukwuma Dibia and Adam Fourney. These collaborations have further enriched her work and contributed to the development of her patents.

Conclusion

Forough Poursabzi Sangdeh is a pioneering inventor whose work in source code evaluation has made a significant impact in the software engineering domain. Her innovative patents and contributions continue to shape the future of coding evaluation methodologies.