Megan Maton
Research Associate in Software Testing
Hi there! I am Megan, a Research Associate in the AI x Software Engineering and Testing (ASET) group at the University of Sheffield. My PhD has been supervised by Phil McMinn and Gregory M. Kapfhammer.
My research interests include:
- Software testing
- Mutation testing
- AI for Software Engineering
My recent work studies the use of LLMs to perturb code descriptions using hazard analysis for guiding method level mutation testing. I am also interested in understanding pseudo-tested statements, which are statements that are executed by a test case, yet if one of these statements is removed, the test cases continue to pass. These areas highlight gaps in the test suites to developers, such as missing assertions and test cases.
When I am not at the university, I enjoy volunteering with Girlguiding UK to run camps and events for young people.
News
| Jun 25, 2026 | 🥳 Pleased to say I passed my PhD Viva today with minor corrections. My work focused on “Investigating the Relationships Between Mutants, Oracles and Pseudo-testedness”. Thank you to Ajitha Rajan (University of Edinburgh) and Tony Simons (University of Sheffield) for examining my thesis and for the interesting discussions. |
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| Jun 19, 2026 | ✅ Looking forward to attending ASE 2026 and presenting “Multiplex” our LLM-based Mutation Tool in the Tool and Datasets Track. |
| Mar 13, 2026 | ✅ Excited to have our paper “Empirically Comparing Hazard-Guided LLM Mutation Techniques with Existing LLM- and Rule-Based Approaches” accepted at EASE 2026! |
| Feb 28, 2026 | 🕵️♀️ Enjoyed serving as a committee member for ESOP/FASE/FoSSaCS’26 Artifact Evaluation this year! |
| Oct 03, 2025 | 🇺🇸 Had a great time at ESEM 2025 in Honolulu, Hawaii, both as a student volunteer and presenting our paper “Where Tests Fall Short: Empirically Analyzing Oracle Gaps in Covered Code”. |