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Reading Between the Lines: Modeling User Behavior and Costs in
  AI-Assisted Programming

Reading Between the Lines: Modeling User Behavior and Costs in AI-Assisted Programming

25 October 2022
Hussein Mozannar
Gagan Bansal
Adam Fourney
Eric Horvitz
ArXivPDFHTML

Papers citing "Reading Between the Lines: Modeling User Behavior and Costs in AI-Assisted Programming"

50 / 66 papers shown
Title
Prompting LLMs for Code Editing: Struggles and Remedies
Prompting LLMs for Code Editing: Struggles and Remedies
Daye Nam
Ahmed Omran
Ambar Murillo
Saksham Thakur
Abner Araujo
Marcel Blistein
Alexander Frömmgen
Vincent J. Hellendoorn
Satish Chandra
KELM
66
0
0
28 Apr 2025
Do It For Me vs. Do It With Me: Investigating User Perceptions of Different Paradigms of Automation in Copilots for Feature-Rich Software
Do It For Me vs. Do It With Me: Investigating User Perceptions of Different Paradigms of Automation in Copilots for Feature-Rich Software
Anjali Khurana
Xiaotian Su
April Yi Wang
Parmit K. Chilana
28
0
0
22 Apr 2025
Synthesizing High-Quality Programming Tasks with LLM-based Expert and Student Agents
Synthesizing High-Quality Programming Tasks with LLM-based Expert and Student Agents
Manh Hung Nguyen
Victor-Alexandru Pădurean
Alkis Gotovos
Sebastian Tschiatschek
Adish Singla
21
0
0
10 Apr 2025
The Impact of Generative AI Coding Assistants on Developers Who Are Visually Impaired
The Impact of Generative AI Coding Assistants on Developers Who Are Visually Impaired
Claudia Flores-Saviaga
Benjamin V. Hanrahan
Kashif Imteyaz
Steven Clarke
Saiph Savage
37
0
0
10 Mar 2025
Human-AI Experience in Integrated Development Environments: A Systematic Literature Review
Agnia Sergeyuk
Ilya Zakharov
Ekaterina Koshchenko
M. Izadi
53
0
0
08 Mar 2025
Assistance or Disruption? Exploring and Evaluating the Design and Trade-offs of Proactive AI Programming Support
Assistance or Disruption? Exploring and Evaluating the Design and Trade-offs of Proactive AI Programming Support
Kevin Pu
Daniel Lazaro
Ian Arawjo
Haijun Xia
Ziang Xiao
Tovi Grossman
Yan Chen
55
1
0
25 Feb 2025
Evaluation of Large Language Models via Coupled Token Generation
Evaluation of Large Language Models via Coupled Token Generation
N. C. Benz
Stratis Tsirtsis
Eleni Straitouri
Ivi Chatzi
Ander Artola Velasco
Suhas Thejaswi
Manuel Gomez Rodriguez
41
0
0
03 Feb 2025
Insights from the Frontline: GenAI Utilization Among Software
  Engineering Students
Insights from the Frontline: GenAI Utilization Among Software Engineering Students
Rudrajit Choudhuri
Ambareesh Ramakrishnan
Amreeta Chatterjee
Bianca Trinkenreich
Igor Steinmacher
M. Gerosa
Anita Sarma
68
2
0
20 Dec 2024
Beyond the Hype: A Comprehensive Review of Current Trends in Generative
  AI Research, Teaching Practices, and Tools
Beyond the Hype: A Comprehensive Review of Current Trends in Generative AI Research, Teaching Practices, and Tools
James Prather
Juho Leinonen
Natalie Kiesler
Jamie Gorson Benario
Sam Lau
...
Brent N. Reeves
Jaromír Šavelka
David H Smith IV
Sven Strickroth
Daniel Zingaro
66
5
0
19 Dec 2024
Contextual Augmented Multi-Model Programming (CAMP): A Hybrid Local-Cloud Copilot Framework
Contextual Augmented Multi-Model Programming (CAMP): A Hybrid Local-Cloud Copilot Framework
Yuchen Wang
Shangxin Guo
C. Tan
22
0
0
20 Oct 2024
AI on My Shoulder: Supporting Emotional Labor in Front-Office Roles with an LLM-based Empathetic Coworker
AI on My Shoulder: Supporting Emotional Labor in Front-Office Roles with an LLM-based Empathetic Coworker
V. D. Swain
Qiuyue "Joy" Zhong
Jash Rajesh Parekh
Yechan Jeon
Roy Zimmerman
Mary Czerwinski
J. Suh
Varun Mishra
Koustuv Saha
Javier Hernández
AI4MH
33
0
0
18 Oct 2024
How much does AI impact development speed? An enterprise-based
  randomized controlled trial
How much does AI impact development speed? An enterprise-based randomized controlled trial
Elise Paradis
Kate Grey
Quinn Madison
Daye Nam
A. Macvean
Vahid Meimand
Nan Zhang
Ben Ferrari-Church
Satish Chandra
17
0
0
16 Oct 2024
Need Help? Designing Proactive AI Assistants for Programming
Need Help? Designing Proactive AI Assistants for Programming
Valerie Chen
Alan Zhu
Sebastian Zhao
Hussein Mozannar
David Sontag
Ameet Talwalkar
27
4
0
06 Oct 2024
Understanding the Human-LLM Dynamic: A Literature Survey of LLM Use in
  Programming Tasks
Understanding the Human-LLM Dynamic: A Literature Survey of LLM Use in Programming Tasks
Deborah Etsenake
Meiyappan Nagappan
20
0
0
01 Oct 2024
Not the Silver Bullet: LLM-enhanced Programming Error Messages are
  Ineffective in Practice
Not the Silver Bullet: LLM-enhanced Programming Error Messages are Ineffective in Practice
E. Santos
Brett A. Becker
14
2
0
27 Sep 2024
Assessing Consensus of Developers' Views on Code Readability
Assessing Consensus of Developers' Views on Code Readability
Agnia Sergeyuk
Olga Lvova
Sergey Titov
Anastasiia Serova
Farid Bagirov
T. Bryksin
39
0
0
04 Jul 2024
Improving Steering and Verification in AI-Assisted Data Analysis with
  Interactive Task Decomposition
Improving Steering and Verification in AI-Assisted Data Analysis with Interactive Task Decomposition
Majeed Kazemitabaar
Jack Williams
Ian Drosos
Tovi Grossman
Austin Z. Henley
Carina Negreanu
Advait Sarkar
19
0
0
02 Jul 2024
Student-AI Interaction: A Case Study of CS1 students
Student-AI Interaction: A Case Study of CS1 students
Matin Amoozadeh
Daye Nam
Daniel Prol
Ali Alfageeh
James Prather
Michael Hilton
Sruti Srinivasa Ragavan
Mohammad Amin Alipour
22
4
0
29 Jun 2024
Does GPT Really Get It? A Hierarchical Scale to Quantify Human vs AI's Understanding of Algorithms
Does GPT Really Get It? A Hierarchical Scale to Quantify Human vs AI's Understanding of Algorithms
Mirabel Reid
Santosh Vempala
ELM
35
0
0
20 Jun 2024
Using AI-Based Coding Assistants in Practice: State of Affairs,
  Perceptions, and Ways Forward
Using AI-Based Coding Assistants in Practice: State of Affairs, Perceptions, and Ways Forward
Agnia Sergeyuk
Yaroslav Golubev
T. Bryksin
Iftekhar Ahmed
38
1
0
11 Jun 2024
Impact of AI-tooling on the Engineering Workspace
Impact of AI-tooling on the Engineering Workspace
Lena Chretien
Nikolas Albarran
14
0
0
11 Jun 2024
A Survey on Large Language Models for Code Generation
A Survey on Large Language Models for Code Generation
Juyong Jiang
Fan Wang
Jiasi Shen
Sungju Kim
Sunghun Kim
35
74
0
01 Jun 2024
The Widening Gap: The Benefits and Harms of Generative AI for Novice
  Programmers
The Widening Gap: The Benefits and Harms of Generative AI for Novice Programmers
James Prather
Brent N. Reeves
Juho Leinonen
Stephen MacNeil
Arisoa S. Randrianasolo
Brett A. Becker
Bailey Kimmel
Jared Wright
Ben Briggs
19
2
0
28 May 2024
A Study on Developer Behaviors for Validating and Repairing
  LLM-Generated Code Using Eye Tracking and IDE Actions
A Study on Developer Behaviors for Validating and Repairing LLM-Generated Code Using Eye Tracking and IDE Actions
Ningzhi Tang
Meng Chen
Zheng Ning
Aakash Bansal
Yu Huang
Collin McMillan
T. Li
25
5
0
25 May 2024
A Transformer-Based Approach for Smart Invocation of Automatic Code
  Completion
A Transformer-Based Approach for Smart Invocation of Automatic Code Completion
Aral de Moor
A. van Deursen
M. Izadi
VLM
28
5
0
23 May 2024
A Dynamic Model of Performative Human-ML Collaboration: Theory and
  Empirical Evidence
A Dynamic Model of Performative Human-ML Collaboration: Theory and Empirical Evidence
Tom Sühr
Samira Samadi
Chiara Farronato
HAI
18
1
0
22 May 2024
Sketch Then Generate: Providing Incremental User Feedback and Guiding
  LLM Code Generation through Language-Oriented Code Sketches
Sketch Then Generate: Providing Incremental User Feedback and Guiding LLM Code Generation through Language-Oriented Code Sketches
Zhu-Tian Chen
Zeyu Xiong
Xiaoshuo Yao
Elena Glassman
22
5
0
07 May 2024
The RealHumanEval: Evaluating Large Language Models' Abilities to
  Support Programmers
The RealHumanEval: Evaluating Large Language Models' Abilities to Support Programmers
Hussein Mozannar
Valerie Chen
Mohammed Alsobay
Subhro Das
Sebastian Zhao
Dennis L. Wei
Manish Nagireddy
P. Sattigeri
Ameet Talwalkar
David Sontag
ELM
30
18
0
03 Apr 2024
Ivie: Lightweight Anchored Explanations of Just-Generated Code
Ivie: Lightweight Anchored Explanations of Just-Generated Code
Litao Yan
Alyssa Hwang
Zhiyuan Wu
Andrew Head
19
20
0
04 Mar 2024
Take It, Leave It, or Fix It: Measuring Productivity and Trust in
  Human-AI Collaboration
Take It, Leave It, or Fix It: Measuring Productivity and Trust in Human-AI Collaboration
Crystal Qian
James Wexler
25
8
0
28 Feb 2024
Prediction-Powered Ranking of Large Language Models
Prediction-Powered Ranking of Large Language Models
Ivi Chatzi
Eleni Straitouri
Suhas Thejaswi
Manuel Gomez Rodriguez
ALM
16
5
0
27 Feb 2024
Rocks Coding, Not Development--A Human-Centric, Experimental Evaluation
  of LLM-Supported SE Tasks
Rocks Coding, Not Development--A Human-Centric, Experimental Evaluation of LLM-Supported SE Tasks
Wei Wang
Huilong Ning
Gaowei Zhang
Libo Liu
Yi Wang
12
11
0
08 Feb 2024
To Search or To Gen? Exploring the Synergy between Generative AI and Web
  Search in Programming
To Search or To Gen? Exploring the Synergy between Generative AI and Web Search in Programming
Ryan Yen
N. Sultanum
Jian Zhao
11
8
0
01 Feb 2024
Reassessing Java Code Readability Models with a Human-Centered Approach
Reassessing Java Code Readability Models with a Human-Centered Approach
Agnia Sergeyuk
Olga Lvova
Sergey Titov
Anastasiia Serova
Farid Bagirov
Evgeniia Kirillova
T. Bryksin
23
2
0
26 Jan 2024
In-IDE Human-AI Experience in the Era of Large Language Models; A
  Literature Review
In-IDE Human-AI Experience in the Era of Large Language Models; A Literature Review
Agnia Sergeyuk
Sergey Titov
M. Izadi
18
6
0
19 Jan 2024
Pitfalls in Language Models for Code Intelligence: A Taxonomy and Survey
Pitfalls in Language Models for Code Intelligence: A Taxonomy and Survey
Xinyu She
Yue Liu
Yanjie Zhao
Yiling He
Li Li
C. Tantithamthavorn
Zhan Qin
Haoyu Wang
ELM
12
13
0
27 Oct 2023
CoLadder: Supporting Programmers with Hierarchical Code Generation in
  Multi-Level Abstraction
CoLadder: Supporting Programmers with Hierarchical Code Generation in Multi-Level Abstraction
Ryan Yen
Jiawen Zhu
Sangho Suh
Haijun Xia
Jian Zhao
25
14
0
12 Oct 2023
How to Teach Programming in the AI Era? Using LLMs as a Teachable Agent
  for Debugging
How to Teach Programming in the AI Era? Using LLMs as a Teachable Agent for Debugging
Qianou Ma
Hua Shen
Kenneth R. Koedinger
Tongshuang Wu
LLMAG
ELM
19
5
0
08 Oct 2023
Trust in Generative AI among students: An Exploratory Study
Trust in Generative AI among students: An Exploratory Study
Matin Amoozadeh
David Daniels
Daye Nam
Aayush Kumar
Stella Chen
Michael Hilton
Sruti Srinivasa Ragavan
Mohammad Amin Alipour
6
52
0
07 Oct 2023
Automating Human Tutor-Style Programming Feedback: Leveraging GPT-4
  Tutor Model for Hint Generation and GPT-3.5 Student Model for Hint Validation
Automating Human Tutor-Style Programming Feedback: Leveraging GPT-4 Tutor Model for Hint Generation and GPT-3.5 Student Model for Hint Validation
Tung Phung
Victor-Alexandru Pădurean
Anjali Singh
Christopher A. Brooks
J. Cambronero
Sumit Gulwani
Adish Singla
Gustavo Soares
15
19
0
05 Oct 2023
Can GPT-4 Replicate Empirical Software Engineering Research?
Can GPT-4 Replicate Empirical Software Engineering Research?
Jenny T Liang
Carmen Badea
Christian Bird
R. Deline
Denae Ford
Nicole Forsgren
Thomas Zimmermann
51
8
0
03 Oct 2023
Security Weaknesses of Copilot-Generated Code in GitHub Projects: An Empirical Study
Security Weaknesses of Copilot-Generated Code in GitHub Projects: An Empirical Study
Yujia Fu
Peng Liang
Amjed Tahir
Zengyang Li
Mojtaba Shahin
Jiaxin Yu
Jinfu Chen
SILM
42
24
0
03 Oct 2023
How Novices Use LLM-Based Code Generators to Solve CS1 Coding Tasks in a
  Self-Paced Learning Environment
How Novices Use LLM-Based Code Generators to Solve CS1 Coding Tasks in a Self-Paced Learning Environment
Majeed Kazemitabaar
Xinying Hou
Austin Z. Henley
B. Ericson
David Weintrop
Tovi Grossman
AI4Ed
16
86
0
25 Sep 2023
Spellburst: A Node-based Interface for Exploratory Creative Coding with
  Natural Language Prompts
Spellburst: A Node-based Interface for Exploratory Creative Coding with Natural Language Prompts
Tyler Angert
Miroslav Suzara
Jenny Han
Christopher Pondoc
Hariharan Subramonyam
19
42
0
07 Aug 2023
Evaluating ChatGPT and GPT-4 for Visual Programming
Evaluating ChatGPT and GPT-4 for Visual Programming
Adish Singla
11
20
0
30 Jul 2023
Using an LLM to Help With Code Understanding
Using an LLM to Help With Code Understanding
Daye Nam
A. Macvean
Vincent J. Hellendoorn
Bogdan Vasilescu
Brad A. Myers
ELM
14
221
0
17 Jul 2023
Copilot for Xcode: Exploring AI-Assisted Programming by Prompting
  Cloud-based Large Language Models
Copilot for Xcode: Exploring AI-Assisted Programming by Prompting Cloud-based Large Language Models
C. Tan
Shangxin Guo
M. Wong
Ching Nam Hang
9
10
0
08 Jul 2023
Natural Language Generation and Understanding of Big Code for
  AI-Assisted Programming: A Review
Natural Language Generation and Understanding of Big Code for AI-Assisted Programming: A Review
M. Wong
Shangxin Guo
Ching Nam Hang
Siu-Wai Ho
C. Tan
17
77
0
04 Jul 2023
Generative AI for Programming Education: Benchmarking ChatGPT, GPT-4,
  and Human Tutors
Generative AI for Programming Education: Benchmarking ChatGPT, GPT-4, and Human Tutors
Tung Phung
Victor-Alexandru Pădurean
J. Cambronero
Sumit Gulwani
Tobias Kohn
R. Majumdar
Adish Singla
Gustavo Soares
ALM
ELM
16
73
0
29 Jun 2023
RepoFusion: Training Code Models to Understand Your Repository
RepoFusion: Training Code Models to Understand Your Repository
Disha Shrivastava
Denis Kocetkov
H. D. Vries
Dzmitry Bahdanau
Torsten Scholak
78
26
0
19 Jun 2023
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