publications

Top-tier Journals

2021

  1. Automatic Detection and Update Suggestion for Outdated API Names in Documentation
    Seonah Lee, Rongxin Wu, Shing-Chi Cheung, and Sungwon Kang
    IEEE Transactions on Software Engineering, Apr 2021
    SE
    DOI

2015

  1. The Impact of View Histories on Edit Recommendations
    Seonah Lee, Sungwon Kang, Sunghun Kim, and Matt Staats
    IEEE Transactions on Software Engineering, 2015
    SEAI
    DOI

International Journals

2026

  1. An MCP Tool for Bug Localization by Leveraging Modification Frequencies of Similar Bug Reports
    Jongsun Ahn, Seonah Lee, and Sungwon Kang
    IEEE Access, 2026
    SEAI
    DOI

2025

  1. A Multimodal Deep Learning Model for Cross-Project Issue Classification
    Changwon Kwak, Jueun Heo, Pilsu Jung, and Seonah Lee
    IEEE Access, 2025
    SEAI
    DOI
  2. Data-Efficient Reinforcement Learning Framework for Autonomous Flight Based on Real-World Flight Data
    Uicheon Lee, Seonah Lee, and Kyonghoon Kim
    Drones, 2025
    AIAERO
    DOI
  3. Reconstruction of an Execution Architecture View by Identifying Mapping Rules for Connectors
    Hwi Ahn, Sungwon Kang, and Seonah Lee
    Journal of Systems and Software, 2025
    SE
    DOI

2024

  1. A Multidocument Summarization Technique for Informative Bug Summaries
    Samal Mukhtar, Seonah Lee, and Jueun Heo
    IEEE Access, 2024
    SEAI
    DOI
  2. A Comparison of Pretrained Models for Classifying Issue Reports
    Jueun Heo, Gibeom Kwon, Changwon Kwak, and Seonah Lee
    IEEE Access, 2024
    SEAI
    DOI
  3. Automated code-based test case reuse for software product line testing
    Pilsu Jung, Seonah Lee, and Uicheon Lee
    Information and Software Technology, 2024
    SE
    DOI

2023

  1. A Multimodal Deep Learning Model Using Text, Image, and Code Data for Improving Issue Classification Tasks
    Changwon Kwak, Pilsu Jung, and Seonah Lee
    Applied Sciences, 2023
    SEAI
    DOI
  2. A Comparison of Summarization Methods for Duplicate Software Bug Reports
    Samal Mukhtar, Claudia Cahya Primadani, Seonah Lee, and Pilsu Jung
    Electronics, 2023
    SEAI
    DOI
  3. A Systematic Literature Review of Issue-Based Requirement Traceability
    Yijing Lyu, Heetae Cho, Pilsu Jung, and Seonah Lee
    IEEE Access, 2023
    SE
    DOI
  4. FANET Routing Protocol Analysis for Multi-UAV-Based Reconnaissance Mobility Models
    Taehwan Kim, Seonah Lee, Kyong Hoon Kim, and Yong-Il Jo
    Drones, 2023
    AERO
    DOI

2022

  1. Classifying issue reports according to feature descriptions in a user manual based on a deep learning model
    Heetae Cho, Seonah Lee, and Sungwon Kang
    Information and Software Technology, 2022
    SEAI
    DOI
  2. Deep Learning-Based Bug Report Summarization Using Sentence Significance Factors
    Youngji Koh, Sungwon Kang, and Seonah Lee
    Applied Sciences, 2022
    SEAI
    DOI
  3. Resource allocation through logistic regression and multicriteria decision making method in IoT fog computing
    Hayat Bashir, Seonah Lee, and Kyong Hoon Kim
    Transactions on Emerging Telecommunications Technologies, 2022
    AI
    DOI
  4. A fine-grained secure service provisioning platform for hypervisor systems
    Junho Seo, Seonah Lee, Ki-Il Kim, and Kyong Hoon Kim
    Electronics, 2022
    AERO
    DOI

2021

  1. Code Edit Recommendation Using a Recurrent Neural Network
    Seonah Lee, Jaejun Lee, Sungwon Kang, Jongsun Ahn, and Heetae Cho
    Applied Sciences, 2021
    SEAI
    DOI
  2. An Empirical Study on Using Multi-Labels for Issues in GitHub
    Jindae Kim and Seonah Lee
    IEEE Access, 2021
    SE
    DOI
  3. Development of Multi-Quadrotor Simulator Based on Real-Time Hypervisor Systems
    Muhammad Faris Fathoni, Seonah Lee, Yoonsoo Kim, Ki-Il Kim, and Kyong Hoon Kim
    Drones, 2021
    AERO
    DOI

2020

  1. Overlap avoidance of mobility models for multi-UAVs reconnaissance
    Yong-il Jo, Seonah Lee, and Kyong Hoon Kim
    Applied Sciences, 2020
    AERO
    DOI
  2. Reducing dynamic power consumption in mixed-critical real-time systems
    Ijaz Ali, Yong-Il Jo, Seonah Lee, Wan Yeon Lee, and Kyong Hoon Kim
    Applied Sciences, 2020
    SE
    DOI

2019

  1. A Weighted PageRank-Based Bug Report Summarization Method Using Bug Report Relationships
    Beomjun Kim, Sungwon Kang, and Seonah Lee
    Applied Sciences, 2019
    SEAI
    DOI

2018

  1. EMSA: Extensibility Metric for Software Architecture
    Jungho Kim, Sungwon Kang, Jongsun Ahn, and Seonah Lee
    International Journal of Software Engineering and Knowledge Engineering, 2018
    SE
    DOI

2016

  1. What Situational Information Would Help Developers When Using a Graphical Code Recommender?
    Seonah Lee and Sungwon Kang
    Journal of Systems and Software, Jul 2016
    SEAI
    DOI

2013

  1. Clustering Navigation Sequences to Create Contexts for Guiding Code Navigation
    Seonah Lee and Sungwon Kang
    Journal of Systems and Software, Aug 2013
    SEAI
    DOI

2012

  1. A Study on Guiding Programmers’ Code Navigation with a Graphical Code Recommender
    Seonah Lee and Sungwon Kang
    Studies in Computational Intelligence, 2012
    SEAI
    DOI

2009

  1. A Framework for Tool-based Software Architecture Reconstruction
    Sungwon Kang, Seonah Lee, and Dan Hyung Lee
    International Journal of Software Engineering and Knowledge Engineering, 2009
    SE
    DOI

2002

  1. Transition Management of Software Process Improvement
    Seonah Lee and Byoungju Choi
    Lecture Notes in Computer Science, 2002
    4th International Conference on Product Focused Software Process Improvement, Finland SE
    DOI

International Conferences and Workshops

2026

  1. AeroGuardian: From UAS Sighting Reports to Simulation-Validated Safety Intelligence
    Get Virak and Seonah Lee
    In 45th Digital Avionics Systems Conference (DASC), 2026
    AIAERO
  2. Dynamic Obstacle Collision Avoidance in Urban Manned-Unmanned Teaming: A Velocity Obstacle and Control Barrier Function Approach
    Seongjin Go, Lichen Lee, and Seonah Lee
    In 45th Digital Avionics Systems Conference (DASC), 2026
    AERO
  3. An Early-Warning System for Vision-Based Real-Time Collision Avoidance under Diverse Conditions
    Jia Shin, Uicheon Lee, and Seonah Lee
    In 45th Digital Avionics Systems Conference (DASC), 2026
    AIAERO
  4. Early Warning of Performance Degradation in Object Detection Models via Explainable AI
    Jia Shin, Uicheon Lee, and Seonah Lee
    In IEEE International Conference on Software Testing, Verification and Validation Workshops (ICSTW), 2026
    SEAI
    DOI
  5. Graph Database-based Measurement of Traceability Coverage in Open-Source Projects
    Jihyun Yoo, Seonah Lee, and Heetae Cho
    In The 26th IEEE International Conference on Software Quality, Reliability, and Security, 2026
    SE

2025

  1. Explainable AI for Issue Classification: A Multi-class Study with LIME and SHAP
    Jueun Heo and Seonah Lee
    In 4th International Workshop on Intelligent Software Engineering, co-located with ASE 2025, 2025
    SEAI
    DOI
  2. Can LLMs Update API Documentation?
    Seonah Lee, Jueun Heo, and Katherine R. Dearstyne
    In 41st International Conference on Software Maintenance and Evolution (ICSME), 2025
    SEAI
    DOI
  3. An Aviation Manned-Unmanned Teaming Simulation in Urban Environments to Compare Autonomous Flight Formations
    Uicheon Lee, Taehwan Kim, and Seonah Lee
    In 44th Digital Avionics Systems Conference (DASC), 2025
    AERO
    DOI
  4. An Integrated Metric for Modularity in a Microservice System
    Claudia Cahya Primadani and Seonah Lee
    In The 25th IEEE International Conference on Software Quality, Reliability, and Security, 2025
    SE
    DOI
  5. A Study on Applying Large Language Models to Issue Classification
    Jueun Heo and Seonah Lee
    In The 33rd IEEE/ACM International Conference on Program Comprehension (ICPC), 2025
    SEAI
    DOI

2024

  1. Automated code-based test case reuse for software product line testing
    Pilsu Jung, Seonah Lee, and Uicheon Lee
    In 17th IEEE International Conference on Software Testing, Verification and Validation (ICST), Journal First Track, 2024
    SE

2023

  1. A Combination of Classification and Summarization Techniques for Bug Report Summarization
    Samal Mukhtar and Seonah Lee
    In 2nd International Workshop on Intelligent Software Engineering, 2023
    SEAI
  2. Measuring Modularity in JavaScript-Based Microservices from Software Architectural Perspectives
    Claudia Cahya Primadani and Seonah Lee
    In 2nd International Workshop on Intelligent Software Engineering, 2023
    SE
  3. Duplicate Bug Report Detection by Using Sentence Embedding and Faiss
    Sunho Lee and Seonah Lee
    In 2nd International Workshop on Intelligent Software Engineering, 2023
    SEAI
  4. An Empirical Study on the Performance of Individual Issue Label Prediction
    Jueun Heo and Seonah Lee
    In 20th International Conference on Mining Software Repositories (MSR), 2023
    SEAI
    DOI

2022

  1. Duplicate Bug Report Summarization
    Samal Mukhtar and Seonah Lee
    In 1st International Workshop on Intelligent Software Engineering, co-located with APSEC 2022, 2022
    SEAI
  2. Java2Pseudo: Java to Pseudo Code Translator
    Heetae Cho and Seonah Lee
    In 1st International Workshop on Intelligent Software Engineering, co-located with APSEC 2022, 2022
    SE
  3. A survey of collision avoidance systems for autonomous unmanned aerial vehicle
    Taehwan Kim and Seonah Lee
    In 1st International Workshop on Intelligent Software Engineering, co-located with APSEC 2022, 2022
    SEAERO
  4. Issue report classification using multimodal deep learning
    Changwon Kwak and Seonah Lee
    In 1st International Workshop on Intelligent Software Engineering, co-located with APSEC 2022, 2022
    SEAI
  5. Classifying Issue into Custom Labels in GitBot
    Doje Park, Heetae Cho, and Seonah Lee
    In 4th International Workshop on Bots in Software Engineering, 2022
    SEAI
    DOI

2021

  1. Bug Report Summarization using Believability Score and Text Ranking
    Youngji Koh, Sungwon Kang, and Seonah Lee
    In The 3rd International Conference on Artificial Intelligence in Information and Communication, 2021
    SEAI
    DOI

2019

  1. Automatic Detection and Update Suggestion for Outdated API Names in Documentation
    Seonah Lee, Rongxin Wu, Shing-Chi Cheung, and Sungwon Kang
    In The 34th IEEE/ACM International Conference on Automated Software Engineering (ASE), Journal First Track, 2019
    SE

2018

  1. Agile Requirement Traceability Matrix
    Serin Jeong, Heetae Cho, and Seonah Lee
    In The 40th International Conference on Software Engineering (ICSE), Posters, 2018
    SE
    DOI
  2. Reconstruction of Execution Architecture View Using Dependency Relationships and Execution Trace
    Hwi Ahn, Sungwon Kang, and Seonah Lee
    In The 33rd ACM/SIGAPP Symposium On Applied Computing, 2018
    SE
    DOI

2013

  1. Mining Contexts for Recommending Source Locations to Explore
    Seonah Lee and Sungwon Kang
    In Korea-Japan Joint Workshop on ICT, 2013
    SEAI
  2. A Graphical Recommender for Assisting Code Exploration
    Seonah Lee, Sungwon Kang, and Matt Staats
    In 35th IEEE International Conference on Software Engineering (ICSE), Formal Demonstrations, 2013
    SEAI
    DOI

2011

  1. Clustering and Recommending Collections of Code Relevant to Tasks
    Seonah Lee and Sungwon Kang
    In 27th IEEE International Conference on Software Maintenance (ICSM), ERA Track, 2011
    SEAI
    DOI

2008

  1. How Can Diagramming Tools Help Support Programming Activities?
    Seonah Lee, Gail C. Murphy, Thomas Fritz, and Meghan Allen
    In IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC), 2008
    SE
    DOI

2006

  1. Verifying a Software Architecture Reconstruction Framework with a Case Study
    Seonah Lee and Sungwon Kang
    In International Conference on Software Engineering and Knowledge Engineering (SEKE), 2006
    SE

2004

  1. SAAT: Reverse Engineering for Performance Analysis
    Seonah Lee, Seungmo Cho, and Sungkwan Heo
    In The Second International Workshop on Dynamic Analysis, 2004
    SE
    DOI

2000

  1. Developer’s View on the Software Quality Model based on the ISO/IEC 9126
    Seonah Lee, Sookyung Kim, and Byoungju Choi
    In The World Congress for Software Quality (WCSQ), 2000
    SE

Domestic Journals

2026

  1. Time Series Modeling for AI-based Forecasting of Chromium Plating Tank Concentration
    배종엽 and 이선아
    한국산학기술학회논문지, 2026
    AI
    DOI
  2. A Study on 3D Shape Recognition using Artificial Intelligence (II)
    박효범 and 이선아
    한국항공우주학회지, 2026
    AIAERO
    DOI

2025

  1. A Case Study on the Practical Application of a Tailoring Methodology for the Technical Process Group in ISO/IEC/IEEE 15288:2015
    주요한, 정환균, and 이선아
    시스템엔지니어링학술지, 2025
    SE
    DOI

2024

  1. Safety Requirement Elicitation for Small Aircraft Collision Avoidance Software using STPA, FTA and FMEA
    이종원, 이의천, 김태환, and 이선아
    Journal of KIISE, 2024
    SEAERO
    DOI
  2. A Study on 3D Shape Recognition using Artificial Intelligence
    박효범 and 이선아
    한국항공우주학회지, 2024
    AIAERO
    DOI

2023

  1. A Study on Mission Software Reliability Test Methods of International Joint Development Project for KT-1 Military Aircraft Software
    배병덕 and 이선아
    항공우주시스템공학회지, 2023
    SEAERO
    DOI
  2. 소형 UAV의 장애물 충돌 회피를 위한 YOLO 및 IR 센서 기반 장애물 크기 추정 방법
    이의천, 최의진, 이종원, and 이선아
    항공우주시스템공학회지, 2023
    AIAERO
    DOI

2022

  1. 항공기 시스템의 치명적인 공통 요인을 식별하기 위한 고장-안전 요구분석 절차 제안
    임산하, 이선아, and 전용기
    한국항공우주학회지, 2022
    AERO
    DOI

2021

  1. 소프트웨어 추적성 수립/갱신을 위한 머신러닝 기법에 대한 문헌 연구
    조희태 and 이선아
    정보과학회지, 2021
    SEAI
    HTML
  2. 깃허브 이슈 관리 시스템을 위한 다중 레이블 분류 봇
    박도제, 양혜진, 최광현, 이선아, and 강성원
    정보과학회논문지, 2021
    SEAI
    DOI

2020

  1. 요구사항 추적성 관점에서 항공기 탑재 소프트웨어 시험 사례 실패 분석
    김성섭, 조희태, and 이선아
    정보처리학회논문지: 소프트웨어 및 데이터 공학, 2020
    SEAERO
    DOI
  2. 순환 신경망을 활용한 코드 변경 추천 시스템의 학습 시간 단축 방법
    배병일, 강성원, and 이선아
    정보과학회논문지, 2020
    SEAI
    DOI
  3. A Literature Survey of the Application of Word Embedding and Machine Learning Techniques for User Feedback Classification
    Seonah Lee and Heetae Cho
    Communications of The Korea Information Science Society, 2020
    AI
    HTML

2019

  1. A Technique for Updating Method Calls by Utilizing Software Change Rules
    Jongyeol Park and Seonah Lee
    Journal of KIISE, 2019
    SE
    DOI

2018

  1. A Code Recommendation Method Using RNN Based on Interaction History
    Heetae Cho, Seonah Lee, and Sungwon Kang
    KIPS Transactions on Software and Data Engineering, 2018
    SEAI
    DOI
  2. A Class Diagramming Tool for Visualizing the Latest Revision of Software Change History
    Jaekyeong Sim, Heetae Cho, Jongyeol Park, and Seonah Lee
    Journal of KIISE, 2018
    SE
    DOI
  3. A Spreadsheet Application that Enables to Flexibly Change Mappings in Requirement Traceability Matrix
    Serin Jung and Seonah Lee
    KIPS Transactions on Software and Data Engineering, 2018
    SE
    DOI

2017

  1. Feedback-RFC Model to Individualize Heartbeat Standards
    Taehyun Kim, Pilsu Jung, Seonah Lee, Ki-sook Chung, Changsup Keum, and Sungwon Kang
    KIPS Transactions on Software and Data Engineering, 2017
    SEAI
    DOI

2015

  1. Modeling Traceability between Software Product Line Requirements and Architecture
    Seokhwan Eom, Sungwon Kang, Jingyu Kim, and Seonah Lee
    KIPS Transactions on Software and Data Engineering, 2015
    SE
    DOI

2013

  1. Data-mining based Recommendation Systems for Software Evolution Tasks
    Seonah Lee and Sungwon Kang
    Communications of The Korea Information Science Society, 2013
    SEAI
    HTML

2000

  1. Establishment of the Software Quality Metrics for a Software Development Process
    Seonah Lee and Byoungju Choi
    Journal of KISS: Software and Applications, 2000
    SE

1999

  1. Hierarchical Software Quality Model (H-SQM) of Developer’s View
    Seonah Lee and Byoungju Choi
    Journal of KISS(B): Software and Applications, 1999
    SE

Domestic Conferences

2026

  1. 적대적 공동 진화와 제어 장벽 함수를 결합한 다중 무인기 공중전 강화학습
    이의천, 이경현, 고성진, 최서우, 김동영, 이선아, 정필수, and 최으뜸
    In Avionics Systems Symposium Korea (ASSK), 2026
    [학생부문 최우수논문상] AIAERO
  2. Package Hallucination Detection and Classification
    Patel Kajal and 이선아
    In Korea Computer Congress (KCC), 2026
    SEAI
  3. 자율비행 소프트웨어의 객체 탐지에서 반사실적 설명 기반 실패 경계 탐색
    신지아, 김진우, 정준혁, and 이선아
    In Korea Computer Congress (KCC), 2026
    SEAIAERO
  4. LAH MUM-T 정찰 및 탐지 시나리오에서의 다중 자율 무인기 안전 알림에 관한 HMI 설계
    이동은 and 이선아
    In 한국항공우주학회 춘계학술대회, 2026
    SEAERO
  5. 충돌 위험 인식을 위한 Grad-CAM과 LLM 결합 설명 시스템
    신지아 and 이선아
    In Korea Conference on Software Engineering (KCSE), 2026
    학부생논문 SEAI
  6. 치공구 설계를 위한 RAG-MCP 기반 멀티 에이전트 FreeCAD 오토코딩 시스템
    이의천, 고성진, 이선아, and 이석원
    In Korea Conference on Software Engineering (KCSE), 2026
    [산업체논문 트랙 우수상] SEAI
  7. 프로젝트 구조 요약을 통한 대규모 언어 모델의 구조적 한계 보완 가능성에 대한 실험적 연구
    이석인 and 이선아
    In Korea Conference on Software Engineering (KCSE), 2026
    학부생논문 SEAI

2025

  1. 실시간 드론 충돌 위험 예측을 위한 LIME 기법 적용
    신지아 and 이선아
    In Korea Software Congress (KSC), 2025
    SEAIAERO
  2. Neo4j 기반 소프트웨어 추적성 질의 시스템 개발 및 정량적 평가
    신지아, 유지현, and 이선아
    In Korea Computer Congress (KCC), 2025
    SE
  3. 드론 충돌 회피에 대한 초기 안전성 분석 기법에서의 GPT-4o 활용 연구
    김태환, 이정원, and 이선아
    In Korea Conference on Software Engineering (KCSE), 2025
    SEAIAERO
  4. 추적성 데이터베이스 구축을 통한 추적성 질의 연구
    유지현 and 이선아
    In Korea Conference on Software Engineering (KCSE), 2025
    SE
  5. LLM을 활용한 C++ 테스트 케이스 생성을 위한 프롬프트 구성 연구
    윤정빈, 조희태, and 이선아
    In Korea Conference on Software Engineering (KCSE), 2025
    SEAI

2024

  1. 스테레오 카메라 및 객체인식 모델의 융합을 기반으로 한 3D 환경에서의 동적 장애물 회피 방법
    이준호, 이정원, 이의천, and 이선아
    In Korea Software Congress (KSC), 2024
    SEAIAERO
  2. 오픈소스 프로젝트에서의 추적성 자동 생성에 관한 실증적 연구
    유지현 and 이선아
    In Korea Computer Congress (KCC), 2024
    SE
  3. 깃허브 이슈 보고서 특징에 따른 중복된 버그 보고서 탐지 구현
    이선호, 허주은, and 이선아
    In Korea Computer Congress (KCC), 2024
    SE
  4. YOLOv5를 활용한 쓰러짐 감지 및 알람 시스템
    오은수, 허주은, and 이선아
    In Korea Computer Congress (KCC), 2024
    AI
  5. STPA, FTA 및 FMEA 분석 기법을 연계한 소형 항공기 충돌 회피 소프트웨어 안전 요구사항 도출
    이종원, 이의천, 김태환, and 이선아
    In Korea Conference on Software Engineering (KCSE), 2024
    [최우수 일반논문상] SEAERO

2023

  1. 이슈 보고서 분류를 위한 멀티모달 딥러닝 모델
    곽창원, 이선아, and 정필수
    In Korea Conference on Software Engineering (KCSE), 2023
    SEAI
  2. 안드로이드 앱과 구글 Firebase를 활용한 IoT 스마트팜 제어
    이태상, 김동환, 손명원, 하준영, and 이선아
    In Korea Computer Congress (KCC), 2023
    SE

2022

  1. 사전 훈련된 모델을 활용한 버그 보고서 요약
    Mukhtar Samal and 이선아
    In Korea Computer Congress (KCC), 2022
    SEAI
  2. BERT 모델을 이용한 사용자 매뉴얼의 피처 설명에 따른 이슈 보고서 분류
    곽창원, 조희태, and 이선아
    In Korea Computer Congress (KCC), 2022
    SEAI
  3. 깃허브 이슈 보고서 관리를 위해 RoBERTa Fine-Tuning을 이용한 다중 레이블 분류 기법과 성능 비교
    허주은, 박도제, and 이선아
    In Korea Computer Congress (KCC), 2022
    SEAI
  4. 수업 질문 자동응답을 위해 KoBert를 이용한 챗봇과 Doc2Vec을 이용한 챗봇과의 성능비교
    허주은 and 이선아
    In Korea Conference on Software Engineering (KCSE), 2022
    SEAI

2021

  1. 표적 정보를 포함하는 2차원 지도 생성 시스템
    전병륜, 김강산, 김송섭, 박보근, 전동환, 이선아, and 이성진
    In 한국기계가공학회 춘추계학술대회, 2021
    AERO
  2. 이슈 보고서의 레이블 개수 예측
    박도제, 양혜진, and 이선아
    In Korea Computer Congress (KCC), 2021
    SEAI
  3. 소프트웨어 요구사항 추적성에 대한 문헌 검토
    뤼이징, 조희태, and 이선아
    In Korea Computer Congress (KCC), 2021
    SE
  4. 드론 운용 실험을 위한 3D 시뮬레이터의 특성 비교
    김강산, 조희태, 김태환, 김동진, and 이선아
    In Korea Computer Congress (KCC), 2021
    AERO
  5. 수업 질의 자동응답을 위해 Doc2Vec 모델을 이용한 자연어처리 챗봇
    허주은 and 이선아
    In Korea Computer Congress (KCC), 2021
    [학부생 우수논문상] AI
  6. 이슈 관리를 위한 다중 레이블 분류 봇
    박도제, 양혜진, 최광현, and 이선아
    In 23rd Korea Conference on Software Engineering (KCSE), 2021
    [최우수 일반논문상] SEAI
  7. TF-IDF 기반 유사도 측정 기법을 이용한 KAI 산업체 요구 사항 매핑 테스트케이스 추천 시스템
    주가희, 이효원, 박지성, 구나영, 장혁, and 이선아
    In 23rd Korea Conference on Software Engineering (KCSE), 2021
    SEAI

2020

  1. Reducing the Learning Time of Code Change Recommendation System Using Recurrent Neural Network
    Byeongil Bae, Sungwon Kang, and Seonah Lee
    In 22nd Korea Conference on Software Engineering (KCSE), 2020
    [우수논문상] SEAI
  2. Comparison of Machine Learning Techniques for Traceability Establishment between Issue Reports and User Manuals
    Heetae Cho, Doje Park, and Seonah Lee
    In 22nd Korea Conference on Software Engineering (KCSE), 2020
    SEAI
  3. Scenario-based Test Cases for the Verification of an Automatic Flight Control Computer
    Jaeman Kim and Seonah Lee
    In 22nd Korea Conference on Software Engineering (KCSE), 2020
    SEAERO
  4. Sign Language Translation Project based on AI and SE
    Yuryeol Lee, Eunjin Kim, Hyeokjin Lee, and Seonah Lee
    In 22nd Korea Conference on Software Engineering (KCSE), 2020
    SEAI

2019

  1. A PageRank-based Bug Report Summarization Technique using Bug Report Relationships
    Beomjun Kim, Sungwon Kang, and Seonah Lee
    In KIPS 2019 Fall Conference, 2019
    SEAI
  2. Code Change Recommendation based on Recurrent Neural Networks
    Jaejun Lee, Sungwon Kang, and Seonah Lee
    In 21st Korea Conference on Software Engineering (KCSE), 2019
    SEAI
  3. Summarization of Duplicated Issue Reports
    Hyeongwon Lee, Cahgyu Gim, and Seonah Lee
    In 21st Korea Conference on Software Engineering (KCSE), 2019
    SEAI
  4. Comparison of Pressure Sensors for Failure of Aircraft Propeller
    Seulgi Song, Eunjin Kim, and Seonah Lee
    In 21st Korea Conference on Software Engineering (KCSE), 2019
    SEAERO
  5. Issue Classification using RNN
    Heetae Cho and Seonah Lee
    In 21st Korea Conference on Software Engineering (KCSE), 2019
    SEAI

2018

  1. Prototyping for Development of Educational Autonomous Vehicle
    Hyeongwon Lee and Seonah Lee
    In IEMEK 2018 Fall Conference, 2018
    SE
  2. Literature Survey on Fault Diagnosis
    Seulgi Song and Seonah Lee
    In IEMEK 2018 Fall Conference, 2018
    SE
  3. Analyzing Updates of Test Cases according to Code Changes
    Hyejin Kang and Seonah Lee
    In 20th Korea Conference on Software Engineering (KCSE), 2018
    SE
  4. Identifying of the Software Evolution Phase Using Metrics
    Heetae Cho and Seonah Lee
    In 20th Korea Conference on Software Engineering (KCSE), 2018
    SE
  5. Code Change Recommendation System using Artificial Neural Network
    Junbeom Lee, Sungwon Kang, Hwi Ahn, Pilsu Jung, and Seonah Lee
    In 20th Korea Conference on Software Engineering (KCSE), 2018
    SEAI
  6. Issue Classification according to Requirements
    Jaekyeong Sim, Serin Jeong, and Seonah Lee
    In 20th Korea Conference on Software Engineering (KCSE), 2018
    SEAI
  7. A Spreadsheet Application that Enables to Flexibly Change Mappings in Requirement Traceability Matrix
    Serin Jung and Seonah Lee
    In 20th Korea Conference on Software Engineering (KCSE), 2018
    [우수논문상] SE

2017

  1. Visualizing a Class Diagram from the Recent Revision of Software Change History
    JaeKyeong Sim, Heetae Cho, Jongyeol Park, and Seonah Lee
    In Korea Computer Congress (KCC), 2017
    [우수논문상] SE
  2. Literature Survey and Empirical Investigation on Mining API Changes
    Jongyeol Park and Seonah Lee
    In Korea Computer Congress (KCC), 2017
    SE
  3. A Light-weight Requirement Traceability Matrix for Reflecting Traceability Mapping Changes
    Serin Jung and Seonah Lee
    In Korea Computer Congress (KCC), 2017
    SE
  4. Code Change Recommendation System based on the N-gram Model
    Taehyun Kim, Sungwon Kang, Seonah Lee, and Chansup Keum
    In 19th Korea Conference on Software Engineering (KCSE), 2017
    SEAI
  5. Investigation on the Difficulties of Managing Traceability in the Evolution of Software Requirements
    Jongyeol Park, Seunghui Ryu, Serin Jeong, and Seonah Lee
    In 19th Korea Conference on Software Engineering (KCSE), 2017
    SE

2015

  1. A Refactoring Process for Improving the Portability of Embedded Software Modules
    Kyoungjong Lee, Sungwon Kang, and Seonah Lee
    In 17th Korea Conference on Software Engineering (KCSE), 2015
    SE

2014

  1. A Case Study on the Level of Code Quality according to File Ownership
    SeungBum Han, Seonah Lee, and Sungwon Kang
    In 16th Korea Conference on Software Engineering (KCSE), 2014
    SE

2003

  1. Software Architecture Analysis for Performance Analysis: UPnP Case Study
    Seonah Lee, Byounwan Lee, and Guiyoung Lee
    In 5th Korea Conference on Software Engineering (KCSE), 2003
    SE

2002

  1. The Case Study of Software Requirement Management
    Jeongeun Choi, Soonkew Choi, and Seonah Lee
    In 29th KISS Spring Conference, 2002
    SE

2001

  1. Incremental Process Deployment Strategy for Software Process Improvement
    Seonah Lee, Soonkew Choi, and Jeongeun Choi
    In 28th KISS Fall Conference, 2001
    SE