Publications

How much does AI impact development speed? An enterprise-based randomized controlled trial

Elise Paradis, Kate Grey, Quinn Madison, Daye Nam, Andrew Macvean, Vahid Meimand, Nan Zhang, Ben Ferrari-Church, Satish Chandra

ICSE SEIP '25 2025

PDF

Prompting LLMs for code editing: Struggles and remedies

Daye Nam, Ahmed Omran, Ambar Murillo, Saksham Thakur, Abner Araujo, Marcel Blistein, Alexander Frömmgen, Vincent Hellendoorn, Satish Chandra

arXiv preprint 2025

PDF HTML Bibtex arXiv: 2504.20196

From prompts to propositions: A logic-based lens on student-llm interactions

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

arXiv preprint 2025

PDF HTML Bibtex arXiv: 2504.18691

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

Koli Calling '24 2024

PDF

Using an LLM to Help With Code Understanding

Daye Nam, Andrew Macvean, Vincent Hellendoorn, Bogdan Vasilescu, Brad Myers

ICSE in Lisbon, Portugal 2024

PDF Project HTML Slides

User-Centered Intelligent Information Support for Programmers

Daye Nam

Carnegie Mellon University in Pittsburgh, PA, USA 2024

PDF Video

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

SIGCSE in Portland, OR, USA 2024

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Understanding Documentation Use Through Log Analysis: An Exploratory Case Study of Four Cloud Services

Daye Nam, Andrew Macvean, Brad Myers, Bogdan Vasilescu

CHI in Honolulu, HI, USA 2024

PDF Video Slides

Towards Characterizing Trust in Generative Artificial Intelligence among Students

Matin Amoozadeh, David Daniels, Stella Chen, Daye Nam, Aayush Kumar, Michael Hilton, Amin Alipour, Sruti Srinivasa Ragavan

ICER '23 2023

PDF

Improving API Knowledge Discovery with ML: A Case Study of Comparable API Methods

Daye Nam, Brad Myers, Bogdan Vasilescu, Vincent Hellendoorn

ICSE in Melbourne, Australia 2023

PDF Video Slides

Predictive synthesis of API-centric code

Daye Nam*, Baishakhi Ray*, Seohyun Kim, Xianshan Qu, Satish Chandra

MAPS '22 2022

PDF Video Slides

MARBLE: Mining for Boilerplate Code to Identify API Usability Problems

Daye Nam, Amber Horvath, Andrew Macvean, Brad Myers, Bogdan Vasilescu

ASE in San Diego, CA, USA 2019

PDF Slides

API Design Implications of Boilerplate Client Code

Daye Nam

ASE SRC '19 2019

ACM Student Research Competition 2nd Place

PDF Slides

The long tail: Understanding the discoverability of API functionality

Amber Horvath, Sachin Grover, Sihan Dong, Emily Zhou, Finn Voichick, Mary Beth Kery, Shwetha Shinju, Daye Nam, Mariann Nagy, Brad Myers

VL/HCC '19 2019

PDF

How do organizations publish semantic markup? Three case studies using public Schema.org Crawls

Daye Nam, Mayank Kejriwal

Computer (IEEE) 2018

PDF

EVA: A Tool for Visualizing Software Architectural Evolution

Daye Nam, Youn Kyu Lee, Nenad Medvidovic

ICSE Tool Demonstration in Gothenburg, Sweden 2018

PDF Video Slides

Toward predicting architectural significance of implementation issues

Arman Shahbazian, Daye Nam, Nenad Medvidovic

MSR '18 2018

PDF Slides

SEALANT: A detection and visualization tool for inter-app security vulnerabilities in Android

Youn Kyu Lee, Peera Yoodee, Arman Shahbazian, Daye Nam, Nenad Medvidovic

ASE Tool Demonstration 2017

Best Tool Paper Award

PDF Video

Identifying Inter-Component Communication Vulnerabilities in Event-based Systems

Youn Kyu Lee, Daye Nam, Nenad Medvidovic

Technical Report 2017