Howdy! Welcome to the AS²ERT (AI for Safe Software Engineering and Testing) Lab at the University of Texas at Dallas (UTD). We develop automated techniques to improve the safety and reliability of software systems. Our research spans program analysis, testing, debugging, bug localization, and repair, with a focus on responsibly integrating modern AI methods, including large language models and agentic systems, into automated software engineering workflows.
AS²ERT lab is founded and led by Dr. Soneya Binta Hossain, Assistant Professor of Computer Science at UTD. She earned her Ph.D. and M.S in Computer Science from the University of Virginia, where her research explored AI-driven approaches to automated software testing. She earned her B.Sc. in Computer Science and Engineering from the Bangladesh University of Engineering and Technology (BUET).
Research Interests
Undergraduate Research
The AS²ERT Lab is deeply committed to mentoring motivated undergraduate students and helping them grow into confident, independent researchers in Software Engineering. UTD’s RIDE (Research, Inquiry, Design Experience) program provides an excellent foundation for introducing undergraduates to research in a structured and supportive environment. Through RIDE, students work on carefully scoped projects that encourage them to ask meaningful research questions, build and evaluate technical solutions, and communicate their findings at a level suitable for scholarly venues. Please email your resume and transcript (unofficial is fine), along with a brief explanation of which project you are interested in and why.
- RIDE 033: Resilient LLMs for buggy code.
- RIDE 045: Benchmarks and bug taxonomies for quantum software.
- RIDE 041: Automated documentation generation.
- RIDE 041: Java build migration (Ant to Maven).
- RIDE 041: Intent-aware automated testing.
- RIDE 041: AI for mutation testing.