collaborators

8 papers

cs.PL20261 cited

Fail Faster: Staging and Fast Randomness for High-Performance PBT

Cynthia Richey, Joseph W. Cutler, Harrison Goldstein +1

Property-based testing (PBT) relies on generators for random test cases, often constructed using embedded domain specific languages, which provide expressive combinators for buildi…

cs.SE2026

Etna: An evaluation platform for property-based testing

Alperen Keles, Jessica Shi, Nikhil Kamath +5

Property-based testing is a mainstay of functional programming, boasting a rich literature, an enthusiastic user community, and an abundance of tools~ -- so many, indeed, that new…

cs.SE2026

Programmable Property-Based Testing

Alperen Keles, Justine Frank, Ceren Mert +2

Property-based testing (PBT) is a popular technique for establishing confidence in software, where users write properties -- i.e., executable specifications -- that can be checked…

cs.PL2026

The Search for Constrained Random Generators

Harrison Goldstein, Hila Peleg, Cassia Torczon +3

Among the biggest challenges in property-based testing (PBT) is the constrained random generation problem: given a predicate on program values, randomly sample from the set of all…

cs.HC2026

Explorable Theorems: Making Written Theorems Explorable by Grounding Them in Formal Representations

Hita Kambhamettu, Will Crichton, Sean Welleck +2

LLM-generated explanations can make technical content more accessible, but there is a ceiling on what they can support interactively. Because LLM outputs are static text, they cann…

cs.HC2026

Decision-Oriented Programming with Aporia

Saketh Ram Kasibatla, Raven Rothkopf, Hila Peleg +4

AI agents allow developers to express computational intent abstractly, reducing cognitive effort and helping achieve flow during programming. Increased abstraction, however, comes…