Daye Nam

27 papers A* 6A 1B 1Journal 11Unranked 7
YearRankTypeTitle / Venue / Authors
2025 J jnl
An Empirical Study of Developer-Provided Context for AI Coding Assistants in Open-Source Projects.
CoRR
Shaokang Jiang, Daye Nam
2025 — conf
From Prompts to Propositions: A Logic-Based Lens on Student-LLM Interactions.
Koli Calling
Ali Alfageeh, Sadegh AlMahdi Kazemi Zarkouei, Daye Nam, Daniel Prol, Matin Amoozadeh, Souti Chattopadhyay, James Prather, Paul Denny, Juho Leinonen, Michael Hilton, Sruti Srinivasa Ragavan, Amin Alipour
2025 J jnl
From Prompts to Propositions: A Logic-Based Lens on Student-LLM Interactions.
CoRR
Ali Alfageeh, Sadegh AlMahdi Kazemi Zarkouei, Daye Nam, Daniel Prol, Matin Amoozadeh, Souti Chattopadhyay, James Prather, Paul Denny, Juho Leinonen, Michael Hilton, Sruti Srinivasa Ragavan, Mohammad Amin Alipour
2025 — conf
How Much Does AI Impact Development Speed? an Enterprise-Based Randomized Controlled Trial.
SEIP@ICSE
Elise Paradis, Kate Grey, Quinn Madison, Daye Nam, Andrew Macvean, Vahid Meimand, Nan Zhang, Benjamin Ferrari-Church, Satish Chandra
2025 J jnl
Prompting LLMs for Code Editing: Struggles and Remedies.
CoRR
Daye Nam, Ahmed Omran, Ambar Murillo, Saksham Thakur, Abner Araujo, Marcel Blistein, Alexander Frömmgen, Vincent J. Hellendoorn, Satish Chandra
2025 J jnl
Reading Between the Lines: Scalable User Feedback via Implicit Sentiment in Developer Prompts.
CoRR
Daye Nam, Malgorzata Salawa, Satish Chandra
2024 J jnl
How much does AI impact development speed? An enterprise-based randomized controlled trial.
CoRR
Elise Paradis, Kate Grey, Quinn Madison, Daye Nam, Andrew Macvean, Vahid Meimand, Nan Zhang, Benjamin Ferrari-Church, Satish Chandra
2024 — conf
Student-AI Interaction: A Case Study of CS1 students.
Koli Calling
Matin Amoozadeh, Daye Nam, Daniel Prol, Ali Alfageeh, James Prather, Michael Hilton, Sruti Srinivasa Ragavan, Amin Alipour
2024 J jnl
Student-AI Interaction: A Case Study of CS1 students.
CoRR
Matin Amoozadeh, Daye Nam, Daniel Prol, Ali Alfageeh, James Prather, Michael Hilton, Sruti Srinivasa Ragavan, Mohammad Amin Alipour
2024 — conf
Trust in Generative AI among Students: An exploratory study.
SIGCSE (1)
Matin Amoozadeh, David Daniels, Daye Nam, Aayush Kumar, Stella Chen, Michael Hilton, Sruti Srinivasa Ragavan, Mohammad Amin Alipour
2024 A* conf
Understanding Documentation Use Through Log Analysis: A Case Study of Four Cloud Services.
CHI
Daye Nam, Andrew Macvean, Brad A. Myers, Bogdan Vasilescu
2024 — —
User-Centered Intelligent Information Support for Programmers
Daye Nam
2024 A* conf
Using an LLM to Help With Code Understanding.
ICSE
Daye Nam, Andrew Macvean, Vincent J. Hellendoorn, Bogdan Vasilescu, Brad A. Myers
2023 J jnl
Exploring Documentation Usage via Page-view Log Analysis.
CoRR
Daye Nam, Andrew Macvean, Brad A. Myers, Bogdan Vasilescu
2023 A* conf
Improving API Knowledge Discovery with ML: A Case Study of Comparable API Methods.
ICSE
Daye Nam, Brad A. Myers, Bogdan Vasilescu, Vincent J. Hellendoorn
2023 J jnl
In-IDE Generation-based Information Support with a Large Language Model.
CoRR
Daye Nam, Andrew Macvean, Vincent J. Hellendoorn, Bogdan Vasilescu, Brad A. Myers
2023 — conf
Towards Characterizing Trust in Generative Artificial Intelligence among Students.
ICER (2)
Matin Amoozadeh, David Daniels, Stella Chen, Daye Nam, Aayush Kumar, Michael Hilton, Mohammad Amin Alipour, Sruti Srinivasa Ragavan
2023 J jnl
Trust in Generative AI among students: An Exploratory Study.
CoRR
Matin Amoozadeh, David Daniels, Daye Nam, Stella Chen, Michael Hilton, Sruti Srinivasa Ragavan, Mohammad Amin Alipour
2022 J jnl
Predictive Synthesis of API-Centric Code.
CoRR
Daye Nam, Baishakhi Ray, Seohyun Kim, Xianshan Qu, Satish Chandra
2022 — conf
Predictive synthesis of API-centric code.
MAPS@PLDI
Daye Nam, Baishakhi Ray, Seohyun Kim, Xianshan Qu, Satish Chandra
2019 A* conf
API Design Implications of Boilerplate Client Code.
ASE
Daye Nam
2019 A* conf
MARBLE: Mining for Boilerplate Code to Identify API Usability Problems.
ASE
Daye Nam, Amber Horvath, Andrew Macvean, Brad A. Myers, Bogdan Vasilescu
2019 B conf
The Long Tail: Understanding the Discoverability of API Functionality.
VL/HCC
Amber Horvath, Sachin Grover, Sihan Dong, Emily Zhou, Finn Voichick, Mary Beth Kery, Shwetha Shinju, Daye Nam, Mariann Nagy, Brad A. Myers
2018 — conf
EVA: a tool for visualizing software architectural evolution.
ICSE (Companion Volume)
Daye Nam, Youn Kyu Lee, Nenad Medvidovic
2018 J jnl
How Do Organizations Publish Semantic Markup? Three Case Studies Using Public Schema.org Crawls.
Computer
Daye Nam, Mayank Kejriwal
2018 A conf
Toward predicting architectural significance of implementation issues.
MSR
Arman Shahbazian, Daye Nam, Nenad Medvidovic
2017 A* conf
SEALANT: a detection and visualization tool for inter-app security vulnerabilities in Android.
ASE
Youn Kyu Lee, Peera Yoodee, Arman Shahbazian, Daye Nam, Nenad Medvidovic