This Project Grant from the National Science Foundation's Computer and Information Science and Engineering program ($489,946) supports research from October 1, 2022 to September 30, 2025. The grant to The University of Texas at Arlington funds development of incremental analysis techniques for evolving software specification models. The award aims to improve the efficiency of re-running different types of analysis on updated formal models, such as Alloy models, to increase the feasibility of maintaining models for real-world systems as they evolve. Key research products include techniques for maximizing reuse and minimizing new exploration when writing updated models, introducing regression testing and leveraging logic to automatically generate high-value tests for changed portions of models, and incrementally synthesizing models. The project also produces open-source toolsets and benchmarks of incremental models. Graduate students will be mentored to prepare them for careers, and the tools developed can improve formal methods education.
Mod # | Description | Reason For Modification | Federal Obligation (Click to sort descending) | Date (Click to sort ascending) |
|---|---|---|---|---|
| Not listed | $489.9k | 7/18/22 |