I recently hosted an episode of Software Engineering Radio called "Jennings Anderson and Amy Rose on Overture Maps"!
🚀 Hi! I'm a researcher, teacher, podcaster, and software developer!
Innovating in technical areas such as software engineering and software testing, I teach courses, conduct research, write papers and a blog, give presentations, create software, and serve organizations. Working as an Associate Professor in the Department of Computer and Information Science at Allegheny College, I am an associate editor for the Journal of Software: Evolution and Process, an academic editor for the PeerJ Computer Science journal, a program committee member for conferences like the International Conference on Software Testing, Verification and Validation and the International Conference on Software Engineering, and a reviewer for journals like Transactions on Software Engineering and the Journal of Software Testing, Verification and Reliability. Along with media appearances on podcasts like Stack Overflow and Talk Python, I interview the world’s leading experts on software engineering as a co-host of Software Engineering Radio. You can learn more about me and my work by reading my biography, downloading my curriculum vitae, and subscribing to my mailing list.
Database Testing: Automatically test relational database schemas
Flaky Tests: Find and fix unpredictable and harmful test cases
Mutation Testing: Using automatically seeded defects to evaluate tests
Regression Testing: Efficiently and effectively rerunning test suites
Web Testing: Detecting and repairing responsive web page layout
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| Venue | Role(s) | Year(s) |
|---|---|---|
| International Conference on Software Maintenance and Evolution | Tool Demonstrations Program Committee | 2026 - 2025 |
| International Flaky Tests Workshop | Program Committee Member | 2026 - 2024 |
| International Symposium on Software Testing and Analysis | Program Committee Member, Tool Demonstrations Program Committee Member | 2026 - 2023 |
| PeerJ Computer Science Journal | Academic Editor | 2026 - 2019 |
| Journal of Software: Evolution and Process | Associate Editor, Reviewer | 2026 - 2012 |
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Algorithm Analysis: Implement and evaluate correct and efficient algorithms
Data Abstraction: Build and manipulate correct and efficient data structures
Discrete Structures: Clearly connect mathematics to Python programming
Operating Systems: Build and understand operating system components
Software Engineering: Team-based introduction to building software systems
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Cellveyor: Easily convey reports from Google Sheets to GitHub
Chasten: Configurable linting tool that uses XPath expressions
GatorGrade: Python front-end for the GatorGrader assessment tool
GatorGrader: Automated assessment for source code and writing
SchemaAnalyst: Data generation and mutation analysis for database schemas
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The ratio of CRDT tutorials online to CRDT uses in production systems is baffling.
“Shock! Shock! I learned yesterday that an open problem I’d been working on for several weeks had just been solved by Claude Opus 4.6… It seems that I’ll have to revise my opinions about “generative AI” one of these days. What a joy it is to learn not only that my conjecture has a nice solution but also to celebrate this dramatic advance in automatic deduction and creative problem solving.”
(Donald E. Knuth)
https://www-cs-faculty.stanford.edu/~knuth/papers/claude-cycles.pdf
won't say I'm totally proud of myself here, but once I saw that the Claude C compiler was super buggy according to YARPGen and Csmith, I had a hard time preventing myself from doing something about it
i'm confused why no one ever thinks about the psychology behind this stuff
when a programmer tells you "my entire job is just prompting" they are just very excited about discovering a novel way of working
every tool whether it's neovim or AI or functional programming starts off with a period of overuse because we're all looking for the feeling of finding a secret everyone else is missing out on
the novelty also makes you literally work harder (temporarily) because you love experiencing the new setup
after time goes by you eventually realize you lied to yourself about how much of an impact it was making and settle into something more balanced
anyone not self aware of this dynamic is going through it for the first time
https://bird.makeup/users/deedydas/statuses/2000472514854825985
early in my career when i was learning a new tech or language i would tinker and google whenever i hit a roadblock
eventually i realized books had all the information i needed pre-googled for me
i think this is happening again with LLMs - sometimes i waste so much time letting the LLM keep taking swings instead of reading something
hope the industry doesn't abandon producing good reading material