Project Grant 2342355
- This Project Grant award of $143,139.00 from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program will fund the development of a novel framework named "REPSON" to automate the reproduction of system-level concurrency bugs in software. The primary objectives of this project are to: 1) conduct an empirical study on open-source bug repositories to characterize system-level concurrency bugs, and 2) develop the REPSON framework to...
- The National Science Foundation (NSF) awarded a $238,622 Project Grant to George Mason University (Mason) under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070). The grant will fund the development of a novel issue-reporting system that allows software users to interactively describe problems to an automated agent, which then generates high-quality defect reports for software engineers. This will enable faster identification and resolution of software defects,...
- This Project Grant from the National Science Foundation's Division of Computing and Communication Foundations, under the Computer and Information Science and Engineering program (CFDA 47.070), provides $321,347 to Northwestern University to develop approaches combining crowd-reported and machine-generated data with program analysis to automate the reproduction of kernel vulnerabilities. Specifically, the university will create inference methods to determine kernel compilation configurations from...
- 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) Project Grant, with a total funding of $256,157, will be used to improve the effectiveness and efficiency of post-mortem execution analysis, a technique for debugging software systems. The key innovations include embedding high-fidelity execution artifacts into low-fidelity ones, extrapolating low-fidelity artifacts into high-fidelity ones, and automatically navigating the space of execution artifacts....
- Federal Grant Award Summary The National Science Foundation's Division of Computing and Communication Foundations awarded $450,000 under the Computer and Information Science and Engineering (CFDA 47.070) program to the Regents of the University of California at Riverside for a three-year project (October 1, 2025 – September 30, 2028). The project develops research outputs focused on integrating Large Language Models (LLMs) with existing program analysis tools to improve software vulnerability...
- 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) awarded a $600,000 Project Grant under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070) to the University of Georgia Research Foundation, Inc. The grant aims to improve the reliability, usability, and efficiency of Dynamic Binary Translation (DBT) systems, which are crucial for applications like hardware emulators and software testing tools. The key objectives are to develop methods to detect and fix hidden bugs and...
- This $647,993 Project Grant was awarded on April 1, 2025 by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070). The grant was awarded to Carnegie Mellon University to conduct research aimed at systematically studying past software bugs related to date and time computations, and developing new techniques to automatically uncover date and time-related errors in existing software. The research project seeks...
- This National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070) award of $174,555 to the President and Board of Trustees of Santa Clara College will create a Systematic Mobile App Review (SMAR) tool and guidelines. The tool will assist researchers in evaluating mobile apps across domains like education, health, and mental health, to help ensure they are safe, effective, and user-friendly. The project will involve a systematic...
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 codes to determine if a targeted bug has been triggered; and (3) configuring the appropriate environment to reproduce bugs. The project aims to leverage a combination of static/dynamic program analysis, deep learning, natural language processing, and web crawling to address these challenges. The anticipated completion date is July 31, 2025.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $175.0k | 9/21/23 |