Howdy! Welcome to the AS²ERT Lab (AI for Safe Software Engineering and Testing) at the University of Texas at Dallas. We can hardly go a single day without relying on software — in the apps we use, the systems we build, and the infrastructure that supports our everyday lives. As software becomes more deeply woven into society, it becomes increasingly important to make these systems trustworthy, reliable, and safe.
At the AS²ERT Lab, we see trustworthy software as a full-lifecycle challenge. We build cost-effective and robust methods that help developers improve software reliability and trustworthiness; study how modern AI methods — including large language models and agentic systems — can be used responsibly across testing, debugging, fault localization, and repair; and create high-quality datasets and benchmarks that help the community measure real progress in trustworthy software engineering. Our work spans both classical and quantum software systems.
The AS²ERT Lab is founded by Dr. Soneya Binta Hossain, Assistant Professor of Computer Science at UTD.
Research Areas
- Trustworthy AI for Software Engineering arXiv’ 26
- Automated Testing & Test Oracles ICSE’23 FSE’ 23 ICSE-DS’ 24 ICSE’ 25 FSE’ 25
- Automated Debugging & Repair NIPS’ 24 FSE ’24
- Tools, Datasets & Benchmarks TOGBench (AIware' 26) PITMuS SWE-MIMIC-BENCH
- Quantum Software Testing
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.
- RIDE 033: Trustworthy AI in Software Testing
- RIDE 041: Trustworthy AI in Software Engineering
- RIDE 045: Trustworthy AI in Quantum Software Engineering