CAREER: Foundations of Semantic Code Understanding by Large Language Models for Software M — NSF Award to Virginia Polytechnic Ins
Generative Artificial Intelligence (AI) is rapidly transforming software engineering, with a substantial portion of new code being generated by AI. As generating code becomes easier, the bottleneck shifts to maintaining it through testing, debugging, and repairs. Effective software maintenance fundamentally depends on
| Award title | CAREER: Foundations of Semantic Code Understanding by Large Language Models for Software M |
|---|---|
| Award ID | 2541721 |
| Awardee | Virginia Polytechnic Institute and State University |
| City | BLACKSBURG |
| State | VA |
| Amount obligated | $383,998 |
| Principal investigator | Muhammad Ali Gulzar |
| Program | Software & Hardware Foundation |
| Start date | 07/01/2026 |
| Abstract | Generative Artificial Intelligence (AI) is rapidly transforming software engineering, with a substantial portion of new code being generated by AI. As generating code becomes easier, the bottleneck shifts to maintaining it through testing, debugging, and repairs. Effective software maintenance fundamentally depends on a deep, accurate understanding of software behavior, yet it remains unclear how well current AI models truly understand software. This project systematically studies and improves A |
| Source | NSF Awards |
$799/mo
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