Project Grant 2451420
- This Project Grant award of $450,000.00 from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program will support research by the Regents of the University of California at Riverside to explore how large language models (LLMs) can assist in the analysis of complex computer software. The project aims to investigate strategies for using LLMs to complement existing program analysis techniques, with the goal of improving the accuracy and speed of...
- This federal Project Grant award, provided by the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070), seeks to develop novel "metamorphic debugging" techniques to detect and resolve responsibility issues in AI-enabled software solutions before public deployment. The $528,319 award, with a performance period from October 1, 2025 to September 30, 2030, will fund the University of Illinois' research to create methods for...
- This $174,999 Project Grant awarded by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070) will support the development of a unified, large language model (LLM)-empowered framework to systematically address software performance challenges. The project aims to advance automation in performance testing, issue localization, and optimization for modern complex software systems. Key components include automatic generation...
- This $100,000 Project Grant award from the National Science Foundation (NSF) Computer and Information Science and Engineering (CFDA 47.070) program aims to develop a holistic benchmarking infrastructure for evaluating large language models used in software engineering. The key activities include: Conducting surveys and interviews with the software engineering and machine learning research communities to gather requirements and understand barriers in evaluating large language models for code....
- The National Science Foundation (NSF) has awarded a Project Grant under the Computer and Information Science and Engineering (CFDA 47.070) program to Carnegie Mellon University (CMU) for $675,000 over a 3-year period from October 1, 2025 to September 30, 2028. This grant is for a collaborative research project aimed at improving the ability of large language models (LLMs) to generate high-quality source code by deeply integrating program analysis techniques into the LLM training, code...
- The National Science Foundation (NSF) has awarded a $533,995 Project Grant under the Computer and Information Science and Engineering (CFDA 47.070) program to Iowa State University of Science and Technology (Iowa State University). The 4-year grant, spanning from October 1, 2023 to September 30, 2027, aims to improve the performance, robustness, generalizability, and efficiency of deep learning models for critical software assurance tasks such as bug detection, debugging, test input...
- The National Science Foundation (NSF) awarded a $329,183 Project Grant to the College of William & Mary under the Computer and Information Science and Engineering (CFDA 47.070) program. The grant, awarded on October 1, 2023, will fund the development of a framework and methodology to enable researchers and software engineers to better interpret the behavior of AI-powered developer tools that leverage neural language models for source code. The project aims to generate global and local...
- This National Science Foundation (NSF) Project Grant award under the Computer and Information Science and Engineering (CFDA 47.070) program supports research to expand the understanding of large language models (LLMs), a type of artificial intelligence (AI) system. The $471,529 award to Trustees of Boston University aims to develop methods for identifying and characterizing multi-dimensional and continuous internal representations within LLMs, rather than just simple binary concepts. This work...
- This $331,428 federal Project Grant award was provided by the National Science Foundation (NSF) Computer and Information Science and Engineering (CFDA 47.070) program to the University of Maryland, College Park. The grant supports research to develop techniques for ensuring the security and correctness of code generated by large language models (code LLMs), which are becoming integral to AI-driven software development. Specifically, the project aims to establish a foundation for evaluating the...
- This National Science Foundation (NSF) $900,000 "COLLABORATIVE RESEARCH: SHF: MEDIUM: NATURAL LANGUAGE MODELS WITH EXECUTION DATA FOR SOFTWARE TESTING" Project Grant, awarded under the Computer and Information Science and Engineering program (CFDA 47.070), aims to develop natural language processing (NLP) models to simplify the development and maintenance of software tests. Key objectives include test generation, completion, update, and migration across programming languages, targeting...
This Project Grant award from the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) program, CFDA 47.070, will support research to enhance the debugging capabilities of large language models (LLMs) in software development. The $173,037 award to the University of Central Oklahoma, spanning 2025-2027, will focus on three main activities: (1) developing a benchmark to evaluate LLM performance in detecting and correcting various software bugs; (2) incorporating developer-like problem-solving strategies into LLM-driven debugging tools; and (3) streamlining the debugging workflow through human-AI collaboration. This research aims to create smarter tools that make it easier for developers to identify and fix software errors, leading to more reliable software across sectors such as healthcare, transportation, and education.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $173.0k | 8/15/25 |