Project Grant 2536640
- 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)...
- This $600,000 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) aims to enable developers to perform fine-grained software testing, thereby increasing software quality. The key objectives are to: (1) develop a language and framework for expressing and using fine-grained tests; (2) automatically generate fine-grained tests from code or existing tests; (3) adapt fine-grained tests to software evolution and...
- This National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070) Project Grant award, totaling $639,945, was provided to Carnegie Mellon University (CMU) from June 2024 through May 2027. The research project focuses on developing methods to detect faults in robotic and autonomous systems (RAS) by analyzing program artifacts and real-world data. Key deliverables include: 1) techniques to infer behavior models and check them against...
- 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 $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 $600,000 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) aims to enable developers to perform fine-grained software testing, thereby increasing software quality. The research project will: (1) develop a language and framework for expressing and using fine-grained tests; (2) automatically generate fine-grained tests from code or existing tests; (3) adapt fine-grained tests to software evolution and...
- 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...
- This $274,942 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) supports Arizona State University's research towards mitigating the risks and impacts of metastable failures in large software systems like cloud computing infrastructure. The project will investigate patterns of metastable failures, design more resilient systems, and develop methods to eliminate or reduce the amplification of feedback loops...
- This National Science Foundation (NSF) Project Grant award under the Computer and Information Science and Engineering (CFDA 47.070) program aims to develop software frameworks that can efficiently serve and deploy machine learning models for a variety of AI-powered applications. The $600,000 award, spanning from October 2024 to September 2027, tasks the prime awardee, Georgia Tech Research Corporation, with creating agile mechanisms and policies to serve a family of AI models across...
- This Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program, with the CFDA Number 47.070, aims to develop a comprehensive framework for improving program performance and reliability through advanced methods in program analysis, parallelization, and validation. The $420,000 award to Iowa State University of Science and Technology, to be executed over 3 years from May 1, 2025 to April 30, 2028, focuses on...
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 generating intuitive test cases, techniques for elucidating relationships across multiple execution traces, and statistical approaches to assess worst-case scenarios for undetected defects. The project aims to expand the computing curriculum by incorporating the research results. This award supports fundamental and applied research in computing and information science, with the goal of advancing scientific knowledge and technological innovation in critical areas such as artificial intelligence, cybersecurity, and responsible software development.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $528.3k | 7/21/25 |