Reliable AI-based Software Engineering (RAISE)


Since its establishment in 2018, the Reliable AI-based Software Engineering (R-AISE) Research Lab has been a prominent center for excellence in reliable software engineering education and practical application. R-AISE is dedicated to exploring the significant intersections of Reliable Artificial Intelligence (AI) and Software Engineering (SE), commonly referred to as AI4SE. Additionally, the lab aims to develop secure and reliable engineering methodologies specifically designed for the construction of intelligent software, which is referred to as SE4AI.

Reliable AI-based Software Engineering (RAISE)

Latest News

Last updated on Jun 16, 2023 1 min read
Automated Evolution of Softwares Robustness through Patternizing Attack-and-defend Semantic, Structural, and Functional Co-Evolution
Automated Evolution of Softwares Robustness through Patternizing Attack-and-defend Semantic, Structural, and Functional Co-Evolution

Congratulations to S-AISE LAB for winning a grant on Automated Evolution of Software Robustness through Patternizing Attack-and-defense Semantic, Structural, and Functional Co-Evolution from “DoD: Office of Naval Research (ONR), Division of Cyber Security and Complex Software Systems: Basic and Applied Scientific Research”.

Last updated on Jun 16, 2023 2 min read
Requirements Domain Specifications for Machine-Learned Software Components
Requirements Domain Specifications for Machine-Learned Software Components

Congratulations to S-AISE LAB for winning the NSF grant “NSF: SHF: EAGER: for Transformative Research”.