Research output per year
Research output per year
Personal profile
In Korean
이은주 교수(IT대학 컴퓨터학부)
Education
(1997) B.S, Seoul National University, Seoul
(1999) M.S., Seoul National University, Seoul
(2005) Ph. D., Seoul National University, Seoul
(1999) M.S., Seoul National University, Seoul
(2005) Ph. D., Seoul National University, Seoul
Professional Experience
(2005) BK21 Postdoctorial Researcher, Seoul National University
(2005-2006) Research staff member, Samsung Advanced Institute of Technology
(2006-Present) Associate Professor, Kyungpook National University, Daegu
(2005-2006) Research staff member, Samsung Advanced Institute of Technology
(2006-Present) Associate Professor, Kyungpook National University, Daegu
Research Interests
Software engineering, Software repository mining,
Software engineering practice, Edutech,
Personalized learning system, Software evolution,
Software metrics
Software engineering practice, Edutech,
Personalized learning system, Software evolution,
Software metrics
Fingerprint
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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맞춤형 학습 실현을 위한 클래스 기반 시스템 분석 및 설계
Lee, E., 2024, In: 산업융합연구. 22, p. 13Research output: Contribution to journal › Article › peer-review
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An Empirical Study on Code Smell Introduction and Removal in Deep Learning Software Projects
Kim, J. & Lee, E., 1 May 2023, In: International Journal of Software Engineering and Knowledge Engineering. 33, 5, p. 765-786 22 p.Research output: Contribution to journal › Article › peer-review
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Effects of Visual Communication Design Accessibility (VCDA) Guidelines for Low Vision on Public and Open Government Health Data
Lim, J., Kim, W., Kim, I. & Lee, E., Apr 2023, In: Healthcare (Switzerland). 11, 7, 1047.Research output: Contribution to journal › Article › peer-review
Open Access3 Scopus citations -
피아노 코드 연습 데이터를 활용한 맞춤형 학습 지원
Lee, E., 2023, In: 한국인터넷방송통신학회 논문지. 23, p. 191Research output: Contribution to journal › Article › peer-review
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An Empirical Study on Rule Violation History of JavaScript Code Blocks on Stack Overflow
Kim, J. & Lee, E., 1 May 2022, In: International Journal of Software Engineering and Knowledge Engineering. 32, 5, p. 693-712 20 p.Research output: Contribution to journal › Article › peer-review
1 Scopus citations