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Daye Nam

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2020 – today

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2024
[c13]
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Daye Nam, Andrew Macvean, Brad A. Myers, Bogdan Vasilescu:
Understanding Documentation Use Through Log Analysis: A Case Study of Four Cloud Services. CHI 2024: 937:1-937:17
[c12]
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Daye Nam, Andrew Macvean, Vincent J. Hellendoorn, Bogdan Vasilescu, Brad A. Myers:
Using an LLM to Help With Code Understanding. ICSE 2024: 97:1-97:13
[c11]
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Matin Amoozadeh, Daye Nam, Daniel Prol, Ali Alfageeh, James Prather, Michael Hilton, Sruti Srinivasa Ragavan, Amin Alipour:
Student-AI Interaction: A Case Study of CS1 students. Koli Calling 2024: 13:1-13:13
[c10]
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Matin Amoozadeh, David Daniels, Daye Nam, Aayush Kumar, Stella Chen, Michael Hilton, Sruti Srinivasa Ragavan, Mohammad Amin Alipour:
Trust in Generative AI among Students: An exploratory study. SIGCSE (1) 2024: 67-73
[i6]
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  - journals/corr/abs-2407-00305
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Matin Amoozadeh, Daye Nam, Daniel Prol, Ali Alfageeh, James Prather, Michael Hilton, Sruti Srinivasa Ragavan, Mohammad Amin Alipour:
Student-AI Interaction: A Case Study of CS1 students. CoRR abs/2407.00305 (2024)
[i5]
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Elise Paradis, Kate Grey, Quinn Madison, Daye Nam, Andrew Macvean, Vahid Meimand, Nan Zhang, Benjamin Ferrari-Church, Satish Chandra:
How much does AI impact development speed? An enterprise-based randomized controlled trial. CoRR abs/2410.12944 (2024)
2023
[c9]
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Matin Amoozadeh, David Daniels, Stella Chen, Daye Nam, Aayush Kumar, Michael Hilton, Mohammad Amin Alipour, Sruti Srinivasa Ragavan:
Towards Characterizing Trust in Generative Artificial Intelligence among Students. ICER (2) 2023: 3-4
[c8]
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Daye Nam, Brad A. Myers, Bogdan Vasilescu, Vincent J. Hellendoorn:
Improving API Knowledge Discovery with ML: A Case Study of Comparable API Methods. ICSE 2023: 1890-1906
[i4]
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  - journals/corr/abs-2307-08177
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Daye Nam, Andrew Macvean, Vincent J. Hellendoorn, Bogdan Vasilescu, Brad A. Myers:
In-IDE Generation-based Information Support with a Large Language Model. CoRR abs/2307.08177 (2023)
[i3]
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  - journals/corr/abs-2310-04631
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Matin Amoozadeh, David Daniels, Daye Nam, Stella Chen, Michael Hilton, Sruti Srinivasa Ragavan, Mohammad Amin Alipour:
Trust in Generative AI among students: An Exploratory Study. CoRR abs/2310.04631 (2023)
[i2]
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  - journals/corr/abs-2310-10817
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Daye Nam, Andrew Macvean, Brad A. Myers, Bogdan Vasilescu:
Exploring Documentation Usage via Page-view Log Analysis. CoRR abs/2310.10817 (2023)
2022
[c7]
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  - conf/pldi/NamR0Q022
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Daye Nam, Baishakhi Ray, Seohyun Kim, Xianshan Qu, Satish Chandra:
Predictive synthesis of API-centric code. MAPS@PLDI 2022: 40-49
[i1]
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  - journals/corr/abs-2201-03758
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Daye Nam, Baishakhi Ray, Seohyun Kim, Xianshan Qu, Satish Chandra:
Predictive Synthesis of API-Centric Code. CoRR abs/2201.03758 (2022)

2010 – 2019

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2019
[c6]
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Daye Nam, Amber Horvath, Andrew Macvean, Brad A. Myers, Bogdan Vasilescu:
MARBLE: Mining for Boilerplate Code to Identify API Usability Problems. ASE 2019: 615-627
[c5]
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Daye Nam:
API Design Implications of Boilerplate Client Code. ASE 2019: 1253-1255
[c4]
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  - conf/vl/HorvathGDZVKSNN19
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Amber Horvath, Sachin Grover, Sihan Dong, Emily Zhou, Finn Voichick, Mary Beth Kery, Shwetha Shinju, Daye Nam, Mariann Nagy, Brad A. Myers:
The Long Tail: Understanding the Discoverability of API Functionality. VL/HCC 2019: 157-161
2018
[j1]
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  - journals/computer/NamK18
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Daye Nam, Mayank Kejriwal:
How Do Organizations Publish Semantic Markup? Three Case Studies Using Public Schema.org Crawls. Computer 51(6): 42-51 (2018)
[c3]
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Daye Nam, Youn Kyu Lee, Nenad Medvidovic:
EVA: a tool for visualizing software architectural evolution. ICSE (Companion Volume) 2018: 53-56
[c2]
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  - conf/msr/ShahbazianNM18
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Arman Shahbazian, Daye Nam, Nenad Medvidovic:
Toward predicting architectural significance of implementation issues. MSR 2018: 215-219
2017
[c1]
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Youn Kyu Lee, Peera Yoodee, Arman Shahbazian, Daye Nam, Nenad Medvidovic:
SEALANT: a detection and visualization tool for inter-app security vulnerabilities in Android. ASE 2017: 883-888

Coauthor Index

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