Project Grant 2538540
- 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...
- The National Science Foundation awarded a $597,785 Project Grant to Purdue University to develop new techniques for automated verification and synthesis of input generators in property-based testing frameworks. This grant, funded through NSF's Computer and Information Science and Engineering program (CFDA 47.070), aims to enable precise reasoning about the soundness and completeness of software testing generators. The project will focus on developing new specification frameworks, type systems,...
- This Project Grant award from the National Science Foundation (NSF) Division of Computing and Communication Foundations, under CFDA Program #47.070 "Computer and Information Science and Engineering", provides $300,000 to the University of Illinois to develop natural language processing (NLP) models that can simplify the development and maintenance of software tests (NLP4TEST). The key objectives are to create NLP models for tasks such as test generation, completion, update, and...
- The National Science Foundation (NSF) awarded the University of Connecticut (UConn) a $101,190 Project Grant under the Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070). The objective of this 6-month grant, with a period of performance from November 15, 2023 to May 31, 2024, is to create a novel architecture-modeling framework that bridges the gap between software architecture and software testing. The project will develop three key components: 1) a...
- 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 $323,961 Project Grant awarded by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CFDA 47.070) program supports the development of innovative techniques to automate the testing of augmented reality (AR) applications. The 3-year project, starting on February 1, 2025, aims to create an infrastructure that applies existing automatic graphics user interface (GUI) testing methods to AR apps. The key goals are to (1) automate the construction of...
- This $300,000 federal Project Grant awarded by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program aims to develop a new, efficient, and cost-effective testing methodology for advanced integrated circuits. The research project, led by the Georgia Tech Research Corporation, will generate compact test patterns that can effectively detect internal cell-level defects in modern ICs without relying on exhaustive circuit simulations. This approach...
- This $324,000 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program supports a collaborative research effort at The University of Texas at San Antonio (UTSA) to develop innovative techniques for automated testing of augmented reality (AR) applications. The goal is to improve the efficiency and comprehensiveness of testing AR apps, which are increasingly used across various industries but pose unique testing challenges due...
- The National Science Foundation (NSF) awarded a $1,000,000 Project Grant under the Computer and Information Science and Engineering (CFDA 47.070) program to The Trustees of the University of Pennsylvania, doing business as Clinical Practices of the University of Pennsylvania. This grant will fund research to advance the state-of-the-art in property-based testing (PBT), a software engineering methodology for writing and automatically testing system specifications. The project aims to enhance...
This Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program supports a research initiative titled "A General Framework for Automated Test Transfer." The $143,333 grant, awarded to the University of Georgia Research Foundation on July 1, 2025, aims to develop automated techniques for reusing software testing cases across similar applications. Key goals include enabling the transfer of user interface (UI) test cases, producing tests that target meaningful use cases, and creating sophisticated test oracles. The research promises to advance automated software testing by leveraging analysis techniques to identify conceptually similar UI elements and migrate tests for shared functionality. The project will make the developed techniques, tools, and datasets openly available to benefit the research community. This initiative aligns with the CISE program's focus on foundational and applied research to advance computing and information science capabilities.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $143.3k | 7/31/25 |