Formula Grant HQ0102241GTST

This $430,234 National Science Foundation project grant supports the development of testing and design-for-test techniques for monolithic 3D integrated circuits at Arizona State University. Funded under the Computer and Information Science and Engineering program (CFDA 47.070), the award will advance research on built-in self-test solutions, test generation methods, and power distribution designs to enable reliable testing and defect isolation in multitiered 3D chip architectures. Outcomes...

The National Science Foundation Division of Undergraduate Education awarded Educational Testing Service a $622,551 Project Grant to develop authentic and fair computer science assessments from October 1, 2021 to September 30, 2024. Under the grant, ETS will create assessments to support the NSF's STEM Education program (CFDA 47.076), which aims to ensure the vitality of the nation's science, technology, engineering and mathematics education enterprise. Specifically, ETS will develop...

The U.S. Department of Education's Office of Elementary and Secondary Education awarded a $4,399,997 Project Grant to Educational Testing Service (ETS) under the Education Innovation and Research (EIR) program (CFDA 84.411) to develop technology-enhanced collaborative learning approaches to improve middle-grade students' social-emotional learning skills. The 4-year project, commencing on January 1, 2024 and ending on December 31, 2027, aims to create and evaluate innovative instructional methods...

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 Project Grant award of $323,961 from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program aims to develop innovative techniques for automated testing of augmented reality (AR) applications. The project, led by the Rochester Institute of Technology (RIT), will create an infrastructure to apply existing automatic graphics user interface (GUI) testing methods to AR apps. Key objectives include automating test scene construction, identifying...

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This three-year, $600,000 Project Grant from the National Science Foundation's Computer and Information Science and Engineering program aims to develop scalable concolic testing techniques for parallel applications with shared dynamic data structures. Specifically, the awardee, the Regents of the University of California at Riverside, will pursue two key objectives. First, the researchers will generalize concolic testing to automatically test parallel programs running on heterogeneous, massively...

The National Science Foundation (NSF) awarded a $448,410 Project Grant under the Computer and Information Science and Engineering (CFDA 47.070) program to the Trustees of the Stevens Institute of Technology in Hoboken, New Jersey. The grant aims to address key challenges in unit testing for software engineering, including knowledge gaps in mocking best practices and the high level of expertise required to effectively use mocking frameworks. The research team will: 1) conduct an empirical study...

This Project Grant award from the National Science Foundation (NSF) under the Technology, Innovation, and Partnerships (CFDA 47.084) program provides $337,632 to Iowa State University of Science and Technology to develop affordable and accurate tests for detecting bacterial endotoxins. The project aims to create artificial transcription factors (ATFs) as an alternative to the current reliance on horseshoe crab blood for this testing, which raises sustainability concerns. The key innovations...

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...