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20192026
most citedEditable AI: Mixed Human-AI Authoring of Code Patterns

4 citations · 7 across the 6 of their papers we have counts for

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cs.HC20251 cited

How Developers Choose Debugging Strategies for Challenging Web Application Defects

Maryam Arab, Jenny T. Liang, Valentina Hong +1

Effective debugging is a crucial aspect of software development, demanding problem-solving skills, expertise, and appropriate tools. Although previous research has studied expert d…

cs.HC2025

Towards Decoding Developer Cognition in the Age of AI Assistants

Ebtesam Al Haque, Chris Brown, Thomas D. LaToza +1

Background: The increasing adoption of AI assistants in programming has led to numerous studies exploring their benefits. While developers consistently report significant productiv…

cs.HC2024

IntelliExplain: Enhancing Conversational Code Generation for Non-Professional Programmers

Hao Yan, Thomas D. Latoza, Ziyu Yao

Chat LLMs such as GPT-3.5-turbo and GPT-4 have shown promise in assisting humans in coding, particularly by enabling them to conversationally provide feedback. However, current app…

cs.HC20204 cited

Editable AI: Mixed Human-AI Authoring of Code Patterns

Kartik Chugh, Andrea Y. Solis, Thomas D. LaToza

Developers authoring HTML documents define elements following patterns which establish and reflect the visual structure of a document, such as making all images in a footer the sam…

cs.HC2019

User-Interactive Machine Learning Model for Identifying Structural Relationships of Code Features

Ankit Gupta

Traditional machine learning based intelligent systems assist users by learning patterns in data and making recommendations. However, these systems are limited in that the user has…