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Seonah Lee 0001

Seon-ah Lee 0001 – 이선아

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unicode name: 이선아
affiliation: Gyeongsang National University, Department of Aerospace and Software Engineering, Jinju, Korea
affiliation (former, PhD 2013): Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Korea
affiliation (former): University of British Columbia, Department of Computer Science, Vancouver, BC, Canada
affiliation (former): Samsung Electronics Co. Ltd, Seoul, Korea

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2020 – today

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2025
[j14]
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Hwi Ahn, Sungwon Kang, Seonah Lee:
Reconstruction of an execution architecture view by identifying mapping rules for connectors. J. Syst. Softw. 220: 112268 (2025)
2024
[j13]
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Jueun Heo, Gibeom Kwon, Changwon Kwak, Seonah Lee:
A Comparison of Pretrained Models for Classifying Issue Reports. IEEE Access 12: 79568-79584 (2024)
[j12]
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Samal Mukhtar, Seonah Lee, Jueun Heo:
A Multidocument Summarization Technique for Informative Bug Summaries. IEEE Access 12: 158908-158926 (2024)
[j11]
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Pilsu Jung, Seonah Lee, Uicheon Lee:
Automated code-based test case reuse for software product line testing. Inf. Softw. Technol. 166: 107372 (2024)
[e2]
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Sungsoo Ahn, Seonah Lee, Sajid Anwar:
Proceedings of the 2nd International Workshop on Intelligent Software Engineering co-located with the 30th Asia-Pacific Software Engineering Conference (APSEC 2023), Seoul, South Korea, December 4, 2023. CEUR Workshop Proceedings 3655, CEUR-WS.org 2024 [contents]
2023
[j10]
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Yijing Lyu, Heetae Cho, Pilsu Jung, Seonah Lee:
A Systematic Literature Review of Issue-Based Requirement Traceability. IEEE Access 11: 13334-13348 (2023)
[c18]
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Sunho Lee, Seonah Lee:
Duplicate Bug Report Detection by Using Sentence Embedding and Faiss. ISE@APSEC 2023
[c17]
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Samal Mukhtar, Seonah Lee:
A Combination of Classification and Summarization Techniques for Bug Report Summarization. ISE@APSEC 2023
[c16]
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Claudia Cahya Primadani, Seonah Lee:
Measuring Modularity in JavaScript-Based Microservices from Software Architectural Perspectives. ISE@APSEC 2023
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Jueun Heo, Seonah Lee:
An Empirical Study on the Performance of Individual Issue Label Prediction. MSR 2023: 228-233
[e1]
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Seonah Lee, Sajid Anwar:
Proceedings of the 1st International Workshop on Intelligent Software Engineering co-located with 29th Asia-Pacific Software Engineering Conference (APSEC 2022), Virtual Event, Japan, December 6-9, 2022. CEUR Workshop Proceedings 3362, CEUR-WS.org 2023 [contents]
2022
[j9]
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Bashir Hayat, Seonah Lee, Kyong Hoon Kim:
Resource allocation through logistic regression and multicriteria decision making method in IoT fog computing. Trans. Emerg. Telecommun. Technol. 33(2) (2022)
[j8]
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Heetae Cho, Seonah Lee, Sungwon Kang:
Classifying issue reports according to feature descriptions in a user manual based on a deep learning model. Inf. Softw. Technol. 142: 106743 (2022)
[c14]
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Heetae Cho, Seonah Lee:
Java2Pseudo: Java to Pseudo Code Translator. ISE@APSEC 2022
[c13]
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Taehwan Kim, Seonah Lee:
A survey of collision avoidance systems for autonomous unmanned aerial vehicle. ISE@APSEC 2022
[c12]
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Changwon Kwak, Seonah Lee:
Issue report classification using multimodal deep learning. ISE@APSEC 2022
[c11]
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Samal Mukhtar, Seonah Lee:
Duplicate Bug Report Summarization. ISE@APSEC 2022
[c10]
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  - conf/botse-ws/ParkC022
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Doje Park, Heetae Cho, Seonah Lee:
Classifying issues into custom labels in GitBot. BotSE@ICSE 2022: 28-32
2021
[j7]
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Jindae Kim, Seonah Lee:
An Empirical Study on Using Multi-Labels for Issues in GitHub. IEEE Access 9: 134984-134997 (2021)
[j6]
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Seonah Lee, Rongxin Wu, Shing-Chi Cheung, Sungwon Kang:
Automatic Detection and Update Suggestion for Outdated API Names in Documentation. IEEE Trans. Software Eng. 47(4): 653-675 (2021)
[c9]
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Youngji Koh, Sungwon Kang, Seonah Lee:
Bug Report Summarization using Believability Score and Text Ranking. ICAIIC 2021: 117-120

2010 – 2019

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2018
[j5]
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Jungho Kim, Sungwon Kang, Jongsun Ahn, Seonah Lee:
EMSA: Extensibility Metric for Software Architecture. Int. J. Softw. Eng. Knowl. Eng. 28(3): 371-406 (2018)
[c8]
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Serin Jeong, Heetae Cho, Seonah Lee:
Agile requirement traceability matrix. ICSE (Companion Volume) 2018: 187-188
[c7]
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Hwi Ahn, Sungwon Kang, Seonah Lee:
Reconstruction of execution architecture view using dependency relationships and execution traces. SAC 2018: 1417-1424
2016
[j4]
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Seonah Lee, Sungwon Kang:
What situational information would help developers when using a graphical code recommender? J. Syst. Softw. 117: 199-217 (2016)
2015
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Seonah Lee, Sungwon Kang, Sunghun Kim, Matthew Staats:
The Impact of View Histories on Edit Recommendations. IEEE Trans. Software Eng. 41(3): 314-330 (2015)
2013
[j2]
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Seonah Lee, Sungwon Kang:
Clustering navigation sequences to create contexts for guiding code navigation. J. Syst. Softw. 86(8): 2154-2165 (2013)
[c6]
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Seonah Lee, Sungwon Kang, Matt Staats:
NavClus: a graphical recommender for assisting code exploration. ICSE 2013: 1315-1318
2011
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Seonah Lee, Sungwon Kang:
Clustering and recommending collections of code relevant to tasks. ICSM 2011: 536-539
[c4]
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  - conf/sera/LeeK11
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Seonah Lee, Sungwon Kang:
A Study on Guiding Programmers' Code Navigation with a Graphical Code Recommender. SERA (selected papers) 2011: 61-75

2000 – 2009

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2009
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Sungwon Kang, Seonah Lee, Danhyung Lee:
A Framework for Tool-Based Software Architecture Reconstruction. Int. J. Softw. Eng. Knowl. Eng. 19(2): 283-305 (2009)
2008
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  - conf/vl/LeeMFA08
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Seonah Lee, Gail C. Murphy, Thomas Fritz, Meghan Allen:
How can diagramming tools help support programming activities? VL/HCC 2008: 246-249
2006
[c2]
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Seonah Lee, Sungwon Kang:
Verifying a Software Architecture Reconstruction Framework with a Case Study. SEKE 2006: 102-107
2002
[c1]
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  - conf/profes/LeeC02
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Seonah Lee, Byoungju Choi:
Transition Management of Software Process Improvement. PROFES 2002: 19-34

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