Top-tier Journals
Lee, Seonah, Rongxin Wu, Shing-Chi Cheung, and Sungwon Kang. "Automatic Detection and Update Suggestion for Outdated API Names in Documentation." IEEE Transactions on Software Engineering (2021.04).
Seonah Lee, Sungwon Kang, Sunghun Kim and Matt Staats, "The Impact of View Histories on Edit Recommendations," IEEE Transactions on Software Engineering (TSE), 41(3): 314-330, 2015.
International Journals
Jongsun Ahn, Seonah Lee, and Sungwon Kang, "Method-Level Bug Localization by Counting Method Modifications of Similar Bug Reports," submitted to IEEE Access on Jun, 03, 2025.
Lee, Uicheon, Seonah Lee, and Kyonghoon Kim. "Data-Efficient Reinforcement Learning Framework for Autonomous Flight Based on Real-World Flight Data." Drones 9, no. 4 (2025): 264.
Hwi Ahn, Sungwon Kang, Seonah Lee, "Reconstruction of an Execution Architecture View by Identifying Mapping Rules for Connectors", Journal of Systems and Software," 2024.
Mukhtar, Samal, Seonah Lee, and Jueun Heo, "A Multidocument Summarization Technique for Informative Bug Summaries", IEEE Access (2024).
Jueun Heo, Gibeom Kwon, Changwon Kwak, and Seonah Lee, "A Comparison of Pretrained Models for Classifying Issue Reports," IEEE Access (2024).
Jung, Pilsu, Seonah Lee, and Uicheon Lee. "Automated code-based test case reuse for software product line testing." Information and Software Technology 166 (2024): 107372.
Kwak, Changwon, Pilsu Jung, and Seonah Lee. "A Multimodal Deep Learning Model Using Text, Image, and Code Data for Improving Issue Classification Tasks." Applied Sciences 13, no. 16 (2023): 9456.
Mukhtar, Samal, Claudia Cahya Primadani, Seonah Lee, and Pilsu Jung. "A Comparison of Summarization Methods for Duplicate Software Bug Reports." Electronics 12, no. 16 (2023): 3456.
Lyu, Yijing, Heetae Cho, Pilsu Jung, and Seonah Lee. "A Systematic Literature Review of Issue-Based Requirement Traceability." IEEE Access (2023).
Kim, Taehwan, Seonah Lee, Kyong Hoon Kim, and Yong-Il Jo. "FANET Routing Protocol Analysis for Multi-UAV-Based Reconnaissance Mobility Models." Drones 7, no. 3 (2023): 161.
Cho, Heetae, Seonah Lee, and Sungwon Kang. "Classifying issue reports according to feature descriptions in a user manual based on a deep learning model." Information and Software Technology 142 (2022): 106743.
Koh, Youngji; Kang, Sungwon; Lee, Seonah. (2022). Deep Learning-Based Bug Report Summarization Using Sentence Significance Factors. Applied Sciences, 12(12), 5854.
Bashir, Hayat, Seonah Lee, and Kyong Hoon Kim. "Resource allocation through logistic regression and multicriteria decision making method in IoT fog computing." Transactions on Emerging Telecommunications Technologies 33, no. 2 (2022): e3824.
Seo, Junho, Seonah Lee, Ki-Il Kim, and Kyong Hoon Kim. "A fine-grained secure service provisioning platform for hypervisor systems." Electronics 11, no. 10 (2022): 1606.
Lee, Seonah, Jaejun Lee, Sungwon Kang, Jongsun Ahn, and Heetae Cho. "Code Edit Recommendation Using a Recurrent Neural Network." Applied Sciences 11, no. 19 (2021): 9286.
Kim, Jindae, and Seonah Lee. "An Empirical Study on Using Multi-Labels for Issues in GitHub." IEEE Access 9 (2021): 134984-134997.
Fathoni, Muhammad Faris, Seonah Lee, Yoonsoo Kim, Ki-Il Kim, and Kyong Hoon Kim. "Development of Multi-Quadrotor Simulator Based on Real-Time Hypervisor Systems." Drones 5, no. 3 (2021): 59.
Jo, Yong-il, Seonah Lee, and Kyong Hoon Kim. "Overlap avoidance of mobility models for multi-UAVs reconnaissance." Applied Sciences 10, no. 11 (2020): 4051.
Ali, Ijaz, Yong-Il Jo, Seonah Lee, Wan Yeon Lee, and Kyong Hoon Kim. "Reducing dynamic power consumption in mixed-critical real-time systems." Applied Sciences 10, no. 20 (2020): 7256.
Kim, Beomjun, Sungwon Kang, and Seonah Lee, "A Weighted PageRank-Based Bug Report Summarization Method Using Bug Report Relationships." Applied Sciences 9, no. 24 (2019): 5427
Jungho Kim, Sungwon Kang, Jongsun Ahn, Seonah Lee, "EMSA: Extensibility Metric for Software Architecture", International Journal of Software Engineering and Knowledge Engineering, 28(5) 2018, pp.1-35
Seonah Lee, Sungwon Kang, "What Situational Information Would Help Developers When Using a Graphical Code Recommender?" Journal of Systems and Software, Volume 117, July 2016, Pages 199-217, http://dx.doi.org/10.1016/j.jss.2016.02.050
Seonah Lee, Sungwon Kang, “Clustering Navigation Sequences to Create Contexts for Guiding Code Navigation,” Journal of Systems and Software, 86, 8, pp.2154-2165, DOI information: 10.1016/j.jss.2013.03.103, Aug. 2013.
Seonah Lee and Sungwon Kang, “A Study on Guiding Programmers’ Code Navigation with a Graphical Code Recommender,” Studies in Computational Intelligence, Vol. 377, Springer, 2012. [Presentation]
Sungwon Kang, Seonah Lee, Dan Hyung Lee, “A Framework for Tool-based Software Architecture Reconstruction,” International Journal of Software Engineering and Knowledge Engineering, 19(2), 2009.
Seonah Lee, Byoungju Choi, "Transition Management of Software Process Improvement," LNCS, Vol. 2559, pp.19-34. (4th International Conference on Product Focused Software Process Improvement, Finland, December 2002)
International Conferences and Workshops
Seonah Lee, Jueun Heo, Katherine R. Dearstyne, "Can LLMs Update API Documentation?," 41st International Conference on Software Maintenance and Evolusion, 2025.
Uicheon Lee, Taehwan Kim, Seonah Lee, "An Aviation Manned-Unmanned Teaming Simulation in Urban Environments to Compare Autonomous Flight Formations ," 44th Digital Avionics Systems Conference, 2025
Claudia Cahya Primadani and Seonah Lee, "An Integrated Metric for Modularity in a Microservice System," The 25th IEEE International Conference on Software Quality, Reliability, and Security, 2025.
Jueun Heo, Seonah Lee, "A Study on Applying Large Language Models to Issue Classification," The 33rd IEEE/ACM International Conference on Program Compreension (ICPC), Ottawa, Canada, 2025.
Jung, Pilsu, Seonah Lee, and Uicheon Lee. "Automated code-based test case reuse for software product line testing." Information and Software Technology 166 (2024): 107372. Journal First Track, 17th IEEE International Conference on Software Testing, Verification and Validation (ICST) 2024. Toronto, Canada, 2024.
Mukhtar Samal, Seonah Lee, "A Combination of Classification and Summarization Techniques for Bug Report Summarization" 2st International Workshop on Intelligent Software Engineering (2023)
Claudia Cahya Primadani, Seonah Lee, "Measuring Modularity in JavaScript-Based Microservices from Software Architectural Perspectives" 2st International Workshop on Intelligent Software Engineering (2023)
Sunho Lee, Seonah Lee, "Duplicate Bug Report Detection by Using Sentence Embedding and Faiss" 2st International Workshop on Intelligent Software Engineering (2023)
Jueun Heo, Seonah Lee, An Empirical Study on the Performance of Individual Issue Label Prediction, 20th International Conference on Mining Software Repositories (MSR 2023), 15-16 May 2023, Melbourne, Australia
Samal Mukhtar, Seonah Lee, Duplicate Bug Report Summarization, 1st International Workshop on Intelligent Software Engineering, co-located with APSEC 2022, Virtual Event, Japan, December 6-9, 2022.
Heetae Cho, Seonah Lee, Java2Pseudo: Java to Pseudo Code Translator, 1st International Workshop on Intelligent Software Engineering, co-located with APSEC 2022, Virtual Event, Japan, December 6-9, 2022.
Taehwan Kim, Seonah Lee, A survey of collision avoidance systems for autonomous unmanned aerial vehicle, 1st International Workshop on Intelligent Software Engineering, co-located with APSEC 2022, co-located with APSEC 2022, Virtual Event, Japan, December 6-9, 2022.
Changwon Kwak, Seonah Lee, Issue report classification using multimodal deep learning, 1st International Workshop on Intelligent Software Engineering, co-located with APSEC 2022, co-located with APSEC 2022, Virtual Event, Japan, December 6-9, 2022.
Doje Park, Heetae Cho, Seonah Lee, "Classifying Issue into Custom Labels in GitBot." 4th International Workshop on Bots in Software Engineering (2022)
Youngji Koh, Sungwon Kang, Seonah Lee, "Bug Report Summarization using Believability Score and Text Ranking." The 3rd International Conference on Artificial Intelligence in Information and Communication, April 13~16, 2021, Jeju Island, Korea.
Seonah Lee, Rongxin Wu, Shing-Chi Cheung, and Sungwon Kang. "Automatic Detection and Update Suggestion for Outdated API Names in Documentation." IEEE Transactions on Software Engineering (2019), Journal First Track, the ASE 2019 conference! The 34th IEEE/ACM International Conference on Automated Software Engineering (ASE 2019), Sun 10 - Fri 15 November 2019.
Serin Jeong, Heetae Cho, Seonah Lee, "Agile Requirement Traceability Matrix", The 40th International Conference on Software Engineering (Posters), Gothenburg, Sweden, May 27 - Jun 3 2018.
Hwi Ahn, Sungwon Kang, Seonah Lee, "Reconstruction of Execution Architecture View Using Dependency Relationships and Execution Trace", The 33rd ACM/SIGAPP Symposium On Applied Computing, Pau, France, April 9 - 13, 2018
Seonah Lee, Sungwon Kang, “Mining Contexts for Recommending Source Locations to Explore,” Korea-Japan Joint Workshop on ICT, Beppu Kamenoi Hotel, Beppu City, Oita, Japan, December 12-14, 2013. [Presentation]
Seonah Lee, Sungwon Kang, Matt Staats "A Graphical Recommender for Assisting Code Exploration," 35th IEEE International Conference on Software Engineering (ICSE Formal Demonstrations 2013), [Presentation]
Seonah Lee and Sungwon Kang, “Clustering and Recommending Collections of Code Relevant to Tasks,” 27th IEEE International Conference on Software Maintenance (ICSM ERA 2011), Sep 25 - Oct 1, 2011, Williamsburg, USA, 2011. [Presentation]
Seonah Lee, Gail C. Murphy, Thomas Fritz, Meghan Allen, “How Can Diagramming Tools Help Support Programming Activities?” IEEE Symposium on Visual Languages and Human-Centric Computing, (VL/HCC 2008), Herrsching am Ammersee, Germany, September 15-19, 2008.
Seonah Lee, Sungwon Kang, “Verifying a Software Architecture Reconstruction Framework with a Case Study,” 2006 International Conference on Software Engineering and Knowledge Engineering (SEKE'2006), San Francisco, USA, July 5-7, 2006.
Seonah Lee, Seungmo Cho, Sungkwan Heo, “SAAT: Reverse Engineering for Performance Analysis”, the Second International Workshop on Dynamic Analysis, Edinburgh, Scotland, UK, 25 May 2004. [Presentation]
Seonah Lee, Sookyung Kim, Byoungju Choi, "Developer's View on the Software Quality Model based on the ISO/IEC9126," the World Congress for Software Quality, September 2000 (WCSQ 2000: Japan), pp.719-724.
Domestic Journals
이종원, 이의천, 김태환, and 이선아. STPA, FTA 및 FMEA 분석 기법을 연계한소형 항공기 충돌 회피 소프트웨어 안전요구사항 "Safety Requirement Elicitation for Small Aircraft Collision Avoidance Software using STPA, FTA and FMEA." Journal of KIISE 51, no. 8 (2024): 706-717.
박효범, and 이선아. "인공지능을 활용한 3 차원 형상 인식 실증적 연구." 한국항공우주학회지 52, no. 5 (2024): 423-429.
배병덕, 이선아 (2023), KT-1 군항공기 소프트웨어 국제공동개발 사업의 미션 소프트웨어 신뢰성 시험방안에 관한 연구, 항공우주시스템공학회지, 제 17권 제 6호 / Byung Duck Bae, Seon Ah Lee, A Study on Mission Software Reliability Test Methods of International Joint Development Project for KT-1 Military Aircraft Software.
이의천, 최의진, 이종원, 이선아(2023). 소형 UAV의 장애물 충돌 회피를 위한 YOLO 및 IR 센서 기반 장애물 크기 추정 방법. 항공우주시스템공학회지, 제 17권 제 6호
임산하, 이선아, 전용기.(2022). 항공기 시스템의 치명적인 공통 요인을 식별하기 위한 고장-안전 요구분석 절차 제안.한국항공우주학회지,50(4),259-267.
조희태, 이선아. (2021). 소프트웨어 추적성 수립/갱신을 위한 머신러닝 기법에 대한 문헌 연구. 정보과학회지, 39(10), 8-18.
박도제, 양혜진, 최광현, 이선아 and 강성원. (2021). 깃허브 이슈 관리 시스템을 위한 다중 레이블 분류 봇. 정보과학회논문지, 48(8), 928-939.
김성섭, 조희태, 이선아, 요구사항 추적성 관점에서 항공기 탑재 소프트웨어 시험 사례 실패 분석," 정보처리학회논문지. 소프트웨어 및 데이터 공학 9권 11호(2020), pp. 357-366
배병일, 강성원, 이선아, "순환 신경망을 활용한 코드 변경 추천 시스템의 학습 시간 단축 방법" 한국정보과학회, <정보과학회논문지> 제47권 제10호 (2020), pp.948-957.
이선아, 조희태.(2020).사용자 피드백 분류를 위한 자연어 처리 및 머신러닝 기법 적용에 대한 문헌 연구.정보과학회지,38(4),43-52. / Seonah Lee, Heetae Cho, "A Literature Survey of the Application of Word Embedding and Machine Learning Techniques for User Feedback Classification" Communications of The Korea Information Science Society, Apr., 2020, pp. 43-52.
박종열, 이선아.(2019).소프트웨어 변경 규칙을 활용한 메소드 호출 갱신 기법.정보과학회논문지,46(2),161-173. / Jongyeol Park, Seonah Lee, "A Technique for Updating Method Calls by Utilizing Software Change Rules," Journal of the Korean Institute of Information Scientists and Engineers, 46(2), 2019.2, pp.161-173.
조희태, 이선아, 강성원.(2018).RNN을 이용한 동작기록 마이닝 기반의 추천 방법.정보처리학회논문지. 소프트웨어 및 데이터 공학,7(12),461-468. / Heetae Cho, Seonah Lee, "A Code Recommendation Method Using RNN Based on Interaction History" KIPS (Korea Information Processing Society) Transactions on Software and Data Engineering, 7(12), 2018, pp. 461-468.
심재경, 조희태, 박종열, 이선아.(2018).소프트웨어 변경 이력의 최근 변경을 클래스 다이어그램으로 가시화하는 도구.정보과학회논문지,45(2),150-156. / "A Class Diagramming Tool for Visualizing the Latest Revision of Software Change History", 한국정보과학회, <정보과학회논문지> 제45권 제2호 (2018), pp.150-156.
정세린, 이선아, "요구사항 추적성 매트릭스에서 유연한 맵핑 변경을 가능하게 하는 스프레드시트 애플리케이션". / Serin Jung, Seonah Lee, "A Spreadsheet Application that Enables to Flexibly Change Mappings in Requirement Traceability Matrix", KIPS (Korea Information Processing Society) Transactions on Software and Data Engineering, 7(9), pp.325-334.
심재경, 조희태, 박종열, 이선아.(2018).소프트웨어 변경 이력의 최근 변경을 클래스 다이어그램으로 가시화하는 도구.정보과학회논문지,45(2),150-156. / Jaekyeong Sim, Heetae Cho, Jongyeol Park, Seonah Lee, "A Class Diagramming Tool for Visualizing the Latest Revision of Software Change History", Journal of the Korean Institute of Information Scientists and Engineers, 45(2), 2018.2, pp.150-156.
김태현, 정필수, 이선아, 정기숙, 금창섭, 강성원.(2017).개인별 심박수 기준을 설정하기 위한 피드백-RFC 모델.정보처리학회논문지. 소프트웨어 및 데이터 공학,6(2),91-102. / Taehyun Kim, Pilsu Jung, Seonah Lee, Ki-sook Chung, Changsup Keum, Sungwon Kang, "Feedback-RFC Model to Individualize Heartbeat Standards", KIPS (Korea Information Processing Society) Transactions on Software and Data Engineering, 6(2), 2017, pp.91-102.
엄석환, 이선아, 강성원, 김진규.(2015).소프트웨어 제품 라인의 요구사항과 아키텍처 간 추적성 모델링.정보처리학회논문지. 소프트웨어 및 데이터 공학,4(11),487-498. / Seokhwan Eom, Sungwon Kang, Jingyu Kim, Seonah Lee, “Modeling Traceability between Software Product Line Requirements and Architecture,” KIPS (Korea Information Processing Society) Transactions on Software and Data Engineering, November, 2015.
이선아, 강성원.(2013).소프트웨어 진화 작업을 위한 데이터 마이닝 기반 추천 시스템.정보과학회지,31(10),39-46. / Seonah Lee, Sungwon Kang, "Data-mining based Recommendation Systems for Software Evolution Tasks" Communications of The Korea Information Science Society, October, 2013, pp. 86-93.
이선아, 최병주.(2000).소프트웨어 개발 과정에서 제품의 품질 척도를 적용하는 방법.정보과학회논문지 : 소프트웨어 및 응용,27(3),217-226. / Seonah Lee, Byoungju Choi, "Establishment of the Software Quality Metrics for a Software Development Process", Journal of KISS: Software and Applications, March 2000, v.27, n.3, pp. 217-226.
이선아, 최병주.(1999).개발자 관점의 계층적 소프트웨어 품질 모형(H-SQM).정보과학회논문지(B),26(12),1455-1467. / Seonah Lee, Byoungju Choi, “Hierarchical Software Quality Model (H-SQM) of Developer's View”, Journal of KISS(B) : Software and Applications, December 1999, v.26, n.12, pp. 1455-1467.
Domestic Conferences
김태환, 이정원, 이선아, "드론 충돌 회피에 대한 초기 안전성 분석 기법에서의 GPT-4o 활용 연구", Korea Conference On Software Engineering. KCSE 2025
유지현, 이선아, "추적성 데이터베이스 구축을 통한 추적성 질의 연구", Korea Conference On Software Engineering. KCSE 2025
윤정빈, 조희태, 이선아 , "LLM 을 활용한 C++ 테스트 케이스 생성을 위한 프롬프트 구성 연구", Korea Conference On Software Engineering. KCSE 2025
이준호, 이정원, 이의천, 이선아, "스테레오 카메라 및 객체인식 모델의 융합을 기반으로 한 3D 환경에서의 동적 장애물 회피 방법", KSC 2024
유지현, 이선아, "오픈소스 프로젝트에서의 추적성 자동 생성에 관한 실증적 연구", Korea Computer Congress. KCC 2024
이선호, 허주은, 이선아, "깃허브 이슈 보고서 특징에 따른 중복된 버그 보고서 탐지 구현", Korea Computer Congress. KCC 2024
오은수, 허주은, 이선아, "YOLOv5를 활용한 쓰러짐 감지 및 알람 시스템", Korea Computer Congress. KCC 2024
[최우수 일반논문] 이종원, 이의천, 김태환, 이선아, "STPA, FTA 및 FMEA 분석 기법을 연계한 소형 항공기 충돌 회피 소프트웨어 안전 요구사항 도출", Korea Conference On Software Engineering. KCSE 2024
곽창원, 이선아, 정필수 "이슈 보고서 분류를 위한 멀티모달 딥러닝 모델", Korea Conference On Software Engineering. KCSE 2023
이태상, 김동환, 손명원, 하준영, 이선아 "안드로이드 앱과 구글 Firebase를 활용한 IoT 스마트팜 제어", Korea Computer Congress. KCC 2023
Mukhtar Samal, 이선아, "사전 훈련된 모델을 활용한 버그 보고서 요약", Korea Computer Congress. KCC 2022
곽창원, 조희태, 이선아, "BERT 모델을 이용한 사용자 매뉴얼의 피처 설명에 따른 이슈 보고서 분류", Korea Computer Congress. KCC 2022
허주은, 박도제, 이선아, "깃허브 이슈 보고서 관리를 위해 RoBERTa Fine-Tuning을 이용한 다중 레이블 분류 기법과 성능 비교", Korea Computer Congress. KCC 2022
허주은, 이선아, "수업 질문 자동응답을 위해 KoBert 를 이용한 챗봇과 Doc2Vec 을 이용한 챗봇과의 성능비교", Korea Conference On Software Engineering. KCSE 2022
전병륜, 김강산, 김송섭, 박보근, 전동환, 이선아, 이성진."표적 정보를 포함하는 2차원 지도 생성 시스템."한국기계가공학회 춘추계학술대회 논문집, 326-326, 부산, 24-Jun-2021
박도제, 양혜진, 이선아, "이슈 보고서의 레이블 개수 예측", Korea Computer Congress. KCC 2021
뤼이징, 조희태, 이선아, "소프트웨어 요구사항 추적성에 대한 문헌 검토", Korea Computer Congress. KCC 2021
김강산, 조희태, 김태환, 김동진, 이선아, "드론 운용 실험을 위한 3D 시뮬레이터의 특성 비교", Korea Computer Congress. KCC 2021
[학부생 우수논문상] 허주은, 이선아, "수업 질의 자동응답을 위해 Doc2Vec모델을 이용한 자연어처리 챗봇", Korea Computer Congress. KCC 2021
[최우수 일반 논문] 박도제, 양혜진, 최광현, 이선아, "이슈 관리를 위한 다중 레이블 분류 봇", 23nd Korea Conference on Software Engineering. KCSE, 2021 (pdf)
주가희, 이효원, 박지성, 구나영, 장혁, 이선아, "TF-IDF 기반 유사도 측정 기법을 이용한 KAI 산업체 요구 사항 매핑 테스트케이스 추천 시스템", 23nd Korea Conference on Software Engineering. KCSE, 2021 (pdf)
[우수 논문상] Byeongil Bae, Sungwon Kang, Seonah Lee, “Reducing the Learning Time of Code Change Recommendation System Using Recurrent Neural Network”, Proc. of the 22nd Korean Conference on Software Engineering, Feb. 2020.
Heetae Cho, Doje Park, Seonah Lee, “Comparison of Machine Learning Techniques for Traceability Establishment between Issue Reports and User Manuals”, Proc. of the 22nd Korean Conference on Software Engineering, Feb. 2020.
Jaeman Kim, Seonah Lee, “Scenario-based Test Cases for the Verification of an Automatic Flight Control Computer”, Proc. of the 22nd Korean Conference on Software Engineering, Feb. 2020.
Yuryeol Lee, Eunjin Kim, Hyeokjin Lee, Seonah Lee, “Sign Language Translation Project based on AI and SE”, Proc. of the 22nd Korean Conference on Software Engineering, Feb. 2020.
Beomjun Kim, Sungwon Kang, Seonah Lee, “A PageRank-based Bug Report Summarization Technique using Bug Report Relationships”, Proc. of the KIPS 2019 Fall Conference, Nov. 2019
Jaejun Lee, Sungwon Kang, Seonah Lee, “Code Change Recommendation based on Recurrent Neural Networks”, Proc. of the 21st Korean Conference on Software Engineering, Feb. 2019.
Hyeongwon Lee, Cahgyu Gim, Seonah Lee, “Summarization of Duplicated Issue Reports”, Proc. of the 21st Korean Conference on Software Engineering, Feb. 2019.
Seulgi Song, Eunjin Kim, Seonah Lee, “Comparison of Pressure Sensors for Failure of Aircraft Propeller”, Proc. of the 21st Korean Conference on Software Engineering, Feb. 2019.
Heetae Cho, Seonah Lee, “Issue Classification using RNN”, Proc. of the 21st Korean Conference on Software Engineering, Feb. 2019.
Hyeongwon Lee, Seonah Lee, “Prototyping for Development of Educational Autonomous Vehicle”, Proc. of the IEMEK 2018 Fall Conference, Oct. 2018.
Seulgi song, Seonah Lee, “Literature Survey on Fault Diagnosis”, Proc. of the IEMEK 2018 Fall Conference, Oct. 2018.
Hyejin Kang, Seonah Lee, “Analyzing Updates of Test Cases according to Code Changes”, Proc. of the 20th Korean Conference on Software Engineering, Feb. 2018.
Heetae Cho, Seonah Lee, “Identifying of the Software Evolution Phase Using Metrics”, Proc. of the 20th Korean Conference on Software Engineering, Feb. 2018.
Junbeom Lee, Sungwon Kang, Hwi Ahn, Pilsu Jung, Seonah Lee, “Code Change Recommendation System using Artificial Neural Network”, Proc. of the 20th Korean Conference on Software Engineering, Feb. 2018.
Jaekyeong Sim, Serin Jeong, Seonah Lee, “Issue Classification according to Requirements,” Proc. of the 20th Korean Conference on Software Engineering, Feb. 2018.
[우수 논문상] Serin Jung, Seonah Lee, “An Spreadsheet Application that Enables to Flexibly Change Mappings in Requirement Traceability Matrix”, Proc. of the 20th Korean Conference on Software Engineering, Feb. 2018.
[우수 논문상] JaeKyeong Sim, Heetae Cho, Jongyeol Park, Seonah Lee, “Visualizing a Class Diagram from the Recent Revision of Software Change History, Korea Computer Congress 2017.
Jongyeol Park, Seonah Lee, “Literature Survey and Empirical Investigation on Mining API Changes”, Korea Computer Congress 2017.
Serin Jung, Seonah Lee, “A Light-weight Requirement Traceability Matrix for Reflecting Traceability Mapping Changes”, Korea Computer Congress 2017.
Taehyun Kim, Sungwon Kang, Seonah Lee, Chansup Keum, “Code Change Recommendation System based on the N-gram Model”, Proc. of the 19th Korean Conference on Software Engineering, Feb. 2017.
Jongyeol Park, Seunghui Ryu, Serin Jeong, Seonah Lee, “Investigation on the Difficulties of Managing Traceability in the Evolution of Software Requirements”, Proc. of the 19th Korean Conference on Software Engineering, Feb. 2017.
Kyoungjong Lee, Sungwon Kang, Seonah Lee, “A Refactoring Process for Improving the Portability of Embedded Software Modules,” Proc. of the 17th Korean Conference on Software Engineering, Feb. 2015.
SeungBum Han, Seonah Lee, Sungwon Kang, “A Case Study on the Level of Code Quality according to File Ownership”, Proc. of the 16th Korean Conference on Software Engineering, Feb. 2014.
Seonah Lee, Byounwan Lee, Guiyoung Lee, “Software Architecture Analysis for Performance Analysis: UPnP Case Study”, Proc. of the 5th Korean Conference on Software Engineering, Aug. 2003.
Jeongeun Choi, Soonkew Choi, Seonah Lee, “The Case Study of Software Requirement Management”, Proc. of the 29th KISS Spring Conference, April 2002, pp. 445-447.
Seonah Lee, Soonkew Choi, Jeongeun Choi “Incremental Process Deployment Strategy for Software Process Improvement”, Proc. of the 28th KISS Fall Conference, October 2001, pp. 529-531.