activity
20132023
most citedTea: A High-level Language and Runtime System for Automating Statistical Analysis

28 citations · 107 across the 11 of their papers we have counts for

collaborators

12 papers

cs.SE2023

MuRS: Mutant Ranking and Suppression using Identifier Templates

Zimin Chen, Malgorzata Salawa, Manushree Vijayvergiya +3

Diff-based mutation testing is a mutation testing approach that only mutates lines affected by a code change under review. Google's mutation testing service integrates diff-based m…

cs.PL2023

Generate Compilers from Hardware Models!

Gus Henry Smith, Ben Kushigian, Vishal Canumalla +3

Compiler backends should be automatically generated from hardware design language (HDL) models of the hardware they target. Generating compiler components directly from HDL can pro…

cs.PL2023★ 6 cited

On the Applicability of Language Models to Block-Based Programs

Elisabeth Griebl, Benedikt Fein, Florian Obermüller +2

Block-based programming languages like Scratch are increasingly popular for programming education and end-user programming. Recent program analyses build on the insight that source…

cs.AI2022★ 24 cited

Tisane: Authoring Statistical Models via Formal Reasoning from Conceptual and Data Relationships

Eunice Jun, Audrey Seo, Jeffrey Heer +1

Proper statistical modeling incorporates domain theory about how concepts relate and details of how data were measured. However, data analysts currently lack tool support for recor…

cs.SE2021★ 9 cited

JUGE: An Infrastructure for Benchmarking Java Unit Test Generators

Xavier Devroey, Alessio Gambi, Juan Pablo Galeotti +4

Researchers and practitioners have designed and implemented various automated test case generators to support effective software testing. Such generators exist for various language…

cs.OH2021

Hypothesis Formalization: Empirical Findings, Software Limitations, and Design Implications

Eunice Jun, Melissa Birchfield, Nicole de Moura +2

Data analysis requires translating higher level questions and hypotheses into computable statistical models. We present a mixed-methods study aimed at identifying the steps, consid…