Project Grant 2544013
- 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....
- This $450,000 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program will support research at the University of California, Riverside to explore how large language models (LLMs) can assist in the analysis of complex computer software. The primary goal is to investigate strategies for integrating LLMs with existing program analysis tools to improve their accuracy and scalability in detecting bugs, vulnerabilities, and other...
- The National Science Foundation (NSF) awarded a $675,000 Project Grant under the Computer and Information Science and Engineering (CFDA 47.070) program to Carnegie Mellon University. The grant, spanning October 2025 to September 2028, aims to improve the ability of Large Language Models (LLMs) to generate high-quality computer source code by deeply integrating program analysis techniques into the LLM lifecycle, including training, code generation, and evaluation. The project will develop novel...
- 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...
- 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) $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) under the STEM Education (CFDA 47.076) program aims to integrate the study of software performance throughout the computer science (CS) curriculum. The project, titled "Integrating Software Performance Analysis into CS Education," will develop an education-centric software platform called "EduPerf" to help students and instructors assess software performance and write efficient code. The total funding for...
- This $875,000 Project Grant was awarded by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070) to the University of California, San Diego (UCSD). The project aims to develop new techniques for aligning large language models (LLMs) with formal specifications in order to generate high-quality computer code that provably matches user intent. Specifically, the project will: (1) develop grammar-aligned decoding...
- This Project Grant award of $175,000.00 from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CFDA 47.070) program will support research by the College of William & Mary to advance sustainable software engineering practices with energy-efficient large language models for code. The project aims to optimize training data and apply model compression techniques to reduce the computational costs and environmental impact of large language models used in...
- The National Science Foundation (NSF) has awarded a $225,000 Project Grant under the Computer and Information Science and Engineering (CISE) federal grant program to Colorado State University (CSU) for a 3-year collaborative research project titled "Semantic Aware Code Generation with LLMs - Large Language Models." The project aims to develop novel techniques to improve the ability of large language models (LLMs) to generate high-quality, semantically correct source code. The...
This federal Project Grant award of $174,999, provided by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CFDA 47.070) program, aims to develop a unified, Large Language Model (LLM)-empowered framework to systematically address software performance challenges. The key products and services to be delivered under this award include: The award recipient, the California State University Long Beach Research Foundation, will also integrate the research results into computer science curriculum and provide online training modules to equip future software engineers with state-of-the-art performance engineering skills. The project is scheduled to run from September 1, 2025 to April 30, 2027.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $175.0k | 7/31/25 |