Daye Nam

According to our database, Daye Nam authored at least 18 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

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, Benjamin Ferrari-Church, Satish Chandra

CoRR, 2024

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

Proceedings of the 55th ACM Technical Symposium on Computer Science Education, 2024

Student-AI Interaction: A Case Study of CS1 students.

Matin Amoozadeh, Daye Nam, Daniel Prol, Ali Alfageeh, James Prather, Michael Hilton, Sruti Srinivasa Ragavan, Amin Alipour

Proceedings of the 24th Koli Calling International Conference on Computing Education Research, 2024

Using an LLM to Help With Code Understanding.

Daye Nam, Andrew Macvean, Vincent J. Hellendoorn, Bogdan Vasilescu, Brad A. Myers

Proceedings of the 46th IEEE/ACM International Conference on Software Engineering, 2024

Understanding Documentation Use Through Log Analysis: A Case Study of Four Cloud Services.

Daye Nam, Andrew Macvean, Brad A. Myers, Bogdan Vasilescu

Proceedings of the CHI Conference on Human Factors in Computing Systems, 2024

2023

Exploring Documentation Usage via Page-view Log Analysis.

Daye Nam, Andrew Macvean, Brad A. Myers, Bogdan Vasilescu

CoRR, 2023

Trust in Generative AI among students: An Exploratory Study.

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

CoRR, 2023

In-IDE Generation-based Information Support with a Large Language Model.

Daye Nam, Andrew Macvean, Vincent J. Hellendoorn, Bogdan Vasilescu, Brad A. Myers

CoRR, 2023

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

Daye Nam, Brad A. Myers, Bogdan Vasilescu, Vincent J. Hellendoorn

Proceedings of the 45th IEEE/ACM International Conference on Software Engineering, 2023

Towards Characterizing Trust in Generative Artificial Intelligence among Students.

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

Proceedings of the 2023 ACM Conference on International Computing Education Research, 2023

2022

Predictive synthesis of API-centric code.

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

Proceedings of the MAPS@PLDI 2022: 6th ACM SIGPLAN International Symposium on Machine Programming, 2022

2019

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 A. Myers

Proceedings of the 2019 IEEE Symposium on Visual Languages and Human-Centric Computing, 2019

MARBLE: Mining for Boilerplate Code to Identify API Usability Problems.

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

Proceedings of the 34th IEEE/ACM International Conference on Automated Software Engineering, 2019

API Design Implications of Boilerplate Client Code.

Daye Nam

Proceedings of the 34th IEEE/ACM International Conference on Automated Software Engineering, 2019

2018

How Do Organizations Publish Semantic Markup? Three Case Studies Using Public Schema.org Crawls.

Daye Nam, Mayank Kejriwal

Computer, 2018

Toward predicting architectural significance of implementation issues.

Arman Shahbazian, Daye Nam, Nenad Medvidovic

Proceedings of the 15th International Conference on Mining Software Repositories, 2018

EVA: a tool for visualizing software architectural evolution.

Daye Nam, Youn Kyu Lee, Nenad Medvidovic

Proceedings of the 40th International Conference on Software Engineering: Companion Proceeedings, 2018

2017

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

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

Proceedings of the 32nd IEEE/ACM International Conference on Automated Software Engineering, 2017