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ORCIDSeonah Lee 0001
Person information
- 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
Other persons with the same name
- Seonah Lee 0002 — University of Missouri-St. Louis, College of Nursing, St. Louis, MO, USA
2020 – today
- 2025
[j14]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]Jueun Heo, Gibeom Kwon, Changwon Kwak, Seonah Lee:
A Comparison of Pretrained Models for Classifying Issue Reports. IEEE Access 12: 79568-79584 (2024) - [j12]Samal Mukhtar, Seonah Lee, Jueun Heo:
A Multidocument Summarization Technique for Informative Bug Summaries. IEEE Access 12: 158908-158926 (2024) - [j11]Pilsu Jung, Seonah Lee, Uicheon Lee:
Automated code-based test case reuse for software product line testing. Inf. Softw. Technol. 166: 107372 (2024) - [e2]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]Yijing Lyu, Heetae Cho, Pilsu Jung, Seonah Lee:
A Systematic Literature Review of Issue-Based Requirement Traceability. IEEE Access 11: 13334-13348 (2023) - [c18]Sunho Lee, Seonah Lee:
Duplicate Bug Report Detection by Using Sentence Embedding and Faiss. ISE@APSEC 2023 - [c17]Samal Mukhtar, Seonah Lee:
A Combination of Classification and Summarization Techniques for Bug Report Summarization. ISE@APSEC 2023 - [c16]Claudia Cahya Primadani, Seonah Lee:
Measuring Modularity in JavaScript-Based Microservices from Software Architectural Perspectives. ISE@APSEC 2023 - [c15]Jueun Heo, Seonah Lee:
An Empirical Study on the Performance of Individual Issue Label Prediction. MSR 2023: 228-233 - [e1]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]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]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]Heetae Cho, Seonah Lee:
Java2Pseudo: Java to Pseudo Code Translator. ISE@APSEC 2022 - [c13]Taehwan Kim, Seonah Lee:
A survey of collision avoidance systems for autonomous unmanned aerial vehicle. ISE@APSEC 2022 - [c12]Changwon Kwak, Seonah Lee:
Issue report classification using multimodal deep learning. ISE@APSEC 2022 - [c11]Samal Mukhtar, Seonah Lee:
Duplicate Bug Report Summarization. ISE@APSEC 2022 - [c10]Doje Park, Heetae Cho, Seonah Lee:
Classifying issues into custom labels in GitBot. BotSE@ICSE 2022: 28-32 - 2021
- [j7]Jindae Kim, Seonah Lee:
An Empirical Study on Using Multi-Labels for Issues in GitHub. IEEE Access 9: 134984-134997 (2021) - [j6]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]Youngji Koh, Sungwon Kang, Seonah Lee:
Bug Report Summarization using Believability Score and Text Ranking. ICAIIC 2021: 117-120
2010 – 2019
- 2018
- [j5]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]Serin Jeong, Heetae Cho, Seonah Lee:
Agile requirement traceability matrix. ICSE (Companion Volume) 2018: 187-188 - [c7]Hwi Ahn, Sungwon Kang, Seonah Lee:
Reconstruction of execution architecture view using dependency relationships and execution traces. SAC 2018: 1417-1424 - 2016
- [j4]Seonah Lee, Sungwon Kang:
What situational information would help developers when using a graphical code recommender? J. Syst. Softw. 117: 199-217 (2016) - 2015
- [j3]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]Seonah Lee, Sungwon Kang:
Clustering navigation sequences to create contexts for guiding code navigation. J. Syst. Softw. 86(8): 2154-2165 (2013) - [c6]Seonah Lee, Sungwon Kang, Matt Staats:
NavClus: a graphical recommender for assisting code exploration. ICSE 2013: 1315-1318 - 2011
- [c5]Seonah Lee, Sungwon Kang:
Clustering and recommending collections of code relevant to tasks. ICSM 2011: 536-539 - [c4]Seonah Lee, Sungwon Kang:
A Study on Guiding Programmers' Code Navigation with a Graphical Code Recommender. SERA (selected papers) 2011: 61-75
2000 – 2009
- 2009
- [j1]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
- [c3]Seonah Lee, Gail C. Murphy, Thomas Fritz, Meghan Allen:
How can diagramming tools help support programming activities? VL/HCC 2008: 246-249 - 2006
- [c2]Seonah Lee, Sungwon Kang:
Verifying a Software Architecture Reconstruction Framework with a Case Study. SEKE 2006: 102-107 - 2002
- [c1]Seonah Lee, Byoungju Choi:
Transition Management of Software Process Improvement. PROFES 2002: 19-34
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