The National Science Foundation (NSF) awarded a $375,000 Project Grant under the Computer and Information Science and Engineering (CFDA 47.070) program to the University of Virginia to develop a new method for designing human-machine interfaces (HMIs) that minimize human error. The project aims to develop a formal foundation of "fuzzy mental models" that can better capture the vagueness inherent in how human operators understand system states and functions. Specific objectives...
This $599,578 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) supports research to develop a new programming system that integrates direct manipulation of visual representations with textual code. The goal is to create a more intuitive and accessible programming experience, transforming how people understand and interact with computer programs. The research team at the University of California, San...
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) has awarded a $175,000 Project Grant under the Computer and Information Science and Engineering (CFDA 47.070) program to the University of Cincinnati. The funding will support the development of novel techniques and tools to substantially improve automated bug report reproduction for Android mobile applications. Key objectives include: (1) extracting observation/expectation and environment information from bug reports; (2) generating oracle assertion...
This Project Grant from the National Science Foundation's $647,424 Computer and Information Science and Engineering program will fund research at Vanderbilt University towards developing more human-like artificial intelligence models of source code. The goal is to advance neural representation techniques that underpin many software engineering tasks by improving models to better characterize and potentially mimic human behavior during activities like code review and debugging. Researchers...
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 totaling $199,299 will support a collaborative research project to develop and evaluate novel AI-based methods for student modeling and tailored large language models to enhance personalized learning in computer science education. The research aims to advance the state-of-the-art in modeling students' problem-solving strategies and algorithmic thinking,...
This $600,000 federal Project Grant awarded by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CISE) program will fund research at the University of Chicago aimed at improving the integration of machine learning (ML) services into software systems.
The project will create a benchmark suite of real-world applications to study software bugs that arise from the tension between general ML-as-a-Service (MLaaS) interfaces and the specific needs of...
This National Science Foundation Project Grant of $221,846 supported research at the University of Virginia from January 2022 through July 2023 under the Computer and Information Science and Engineering program.
The grant funded research to develop formal methods for evaluating human-machine interaction reliability in safety-critical systems. Researchers aimed to create a theoretically grounded method for scoring likelihood of human error in design interfaces. They also sought to introduce a...
This Project Grant from the National Science Foundation's Division of Computing and Communication Foundations, under the Computer and Information Science and Engineering federal grant program (CFDA 47.070), provides $467,236 to the University of California Irvine for research and tool development supporting distributed and fragmented software design meetings. Specifically, the University will study several software development teams conducting remote design meetings to document issues, assess...
The National Science Foundation (NSF) awarded a 5-year, $115,440 Project Grant under the Computer and Information Science and Engineering (CFDA 47.070) program to the University of Central Florida (UCF) to develop new machine learning techniques and developer tools for improving the construction of high-quality software user interfaces (UIs). The key goals of this project are to: 1) design a multimodal screen embedding approach to capture UI component relationships and automate UI semantic understanding, 2) develop automated multi-modal software documentation methods that learn from code and UI data, 3) create automated UI bug repair techniques by leveraging patterns between UI faults and code fixes, and 4) develop an agentic UI-centric app exploration approach using reinforcement learning. The results of this research are expected to enhance the UI engineering process, leading to the development of higher-quality UIs with fewer defects and benefits for software users and organizations. No sub-awards are planned under this grant.