This $205,761 Project Grant from the National Science Foundation's Computer and Information Science and Engineering program (CFDA 47.070) will fund the creation of a software refactoring community infrastructure at DePaul University from October 2022 to September 2025. The infrastructure will curate and disseminate a repository of refactoring-related artifacts like datasets, tools, and publications to support empirical studies and experiments in software quality issues across the refactoring...
This Project Grant from the National Science Foundation's Computer and Information Science and Engineering program, totaling $205,000, will fund the creation of a software refactoring community infrastructure from October 1, 2022 to September 30, 2025. The awardee, the Regents of the University of Colorado, will curate a repository of software refactoring datasets and tools to support empirical studies and experiments in detection, prioritization, repair, testing and documentation of software...
This National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070) award of $192,715 to the Regents of the University of Michigan - Flint is to develop and disseminate a repository of software refactoring-related artifacts and online tools. Key products and services to be delivered include: Creating and curating a data repository of refactoring datasets, teaching examples/tutorials, tools, and publications to serve as benchmarks for...
This Project Grant award, with a total funding of $375,000.00, was provided by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070). The award aims to simplify and automate the verification of high-performance distributed systems, which are crucial but complex. The project will develop new techniques, such as "message invariants" and "distributed ownership types," to make formal verification of real-world,...
Purdue University was awarded a $599,999 Project Grant from the National Science Foundation's Division of Computer and Network Systems under the Computer and Information Science and Engineering (CFDA #47.070) program. The funding will support research to develop techniques for testing and detecting software upgrade failures in data-intensive distributed systems, which are critical components of many cloud-based computing services. Key objectives include implementing differential testing...
The National Science Foundation (NSF) awarded a $597,292 Project Grant under the Computer and Information Science and Engineering (CFDA 47.070) federal grant program to the Research Foundation of the City University of New York (RFCUNY) - Hunter College to improve the long-term reliability and evolvability of machine learning (ML) systems. This 3-year project will develop methodologies and automated refactoring techniques to address technical debt in ML systems, which can negatively impact the...
The National Science Foundation awarded a $275,000 Project Grant to the University of Texas at Austin under the Computer and Information Science and Engineering program (CFDA 47.070). The three-year award will support the development of program synthesis techniques to help software developers manage schema changes to databases. The project aims to simplify the schema modification process through automated techniques for migrating data between formats and updating code to reflect schema...
This Project Grant award of $420,000 from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) aims to develop a framework capable of automatically rewriting computer programs to run more efficiently on modern high-performance computing systems. The key objectives are to gain a deeper understanding of complex programs using advanced machine learning techniques, identify tasks that can be executed in parallel to improve performance,...
This Project Grant award from the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CFDA 47.070) program will support research to enable practical dynamic program reasoning across language boundaries in multi-language software systems. The $439,112 award to The Research Foundation for the State University of New York aims to advance the state of knowledge in software quality assurance by developing new analytical techniques and application tools to...
This $100,000 Project Grant from the National Science Foundation's Division of Information and Intelligent Systems, under the Computer and Information Science and Engineering program (CFDA 47.070), will fund research at the Rochester Institute of Technology towards developing a methodology for designing sustainable software systems. Over the one-year period from September 2022 to August 2023, the researchers will conduct an empirical study of software applications in sustainability-relevant...