Transition Management of Software Process Improvement. - Seonah Lee 001; Byoungju Choi (PROFES, 2002)

Verifying a Software Architecture Reconstruction Framework with a Case Study. - Seonah Lee 001; Sungwon Kang (SEKE, 2006)

How can diagramming tools help support programming activities? - Seonah Lee 001; Gail C. Murphy; Thomas Fritz 001; Meghan Allen (VL/HCC, 2008)

A Framework for Tool-Based Software Architecture Reconstruction. - Sungwon Kang; Seonah Lee 001; Danhyung Lee (Int. J. Softw. Eng. Knowl. Eng., 2009)

Clustering and recommending collections of code relevant to tasks. - Seonah Lee 001; Sungwon Kang (ICSM, 2011)

A Study on Guiding Programmers' Code Navigation with a Graphical Code Recommender. - Seonah Lee 001; Sungwon Kang (SERA (selected papers), 2011)

NavClus: a graphical recommender for assisting code exploration. - Seonah Lee 001; Sungwon Kang; Matt Staats (ICSE, 2013)

Clustering navigation sequences to create contexts for guiding code navigation. - Seonah Lee 001; Sungwon Kang (J. Syst. Softw., 2013)

The Impact of View Histories on Edit Recommendations. - Seonah Lee 001; Sungwon Kang; Sunghun Kim 001; Matthew Staats (IEEE Trans. Software Eng., 2015)

What situational information would help developers when using a graphical code recommender? - Seonah Lee 001; Sungwon Kang (J. Syst. Softw., 2016)

Agile requirement traceability matrix. - Serin Jeong; Heetae Cho; Seonah Lee 001 (ICSE (Companion Volume), 2018)

Reconstruction of execution architecture view using dependency relationships and execution traces. - Hwi Ahn; Sungwon Kang; Seonah Lee 001 (SAC, 2018)

EMSA: Extensibility Metric for Software Architecture. - Jungho Kim; Sungwon Kang; Jongsun Ahn; Seonah Lee 001 (Int. J. Softw. Eng. Knowl. Eng., 2018)

Bug Report Summarization using Believability Score and Text Ranking. - Youngji Koh; Sungwon Kang; Seonah Lee 001 (ICAIIC, 2021)

An Empirical Study on Using Multi-Labels for Issues in GitHub. - Jindae Kim 001; Seonah Lee 001 (IEEE Access, 2021)

Automatic Detection and Update Suggestion for Outdated API Names in Documentation. - Seonah Lee 001; Rongxin Wu; Shing-Chi Cheung; Sungwon Kang (IEEE Trans. Software Eng., 2021)

Java2Pseudo: Java to Pseudo Code Translator. - Heetae Cho; Seonah Lee 001 (ISE@APSEC, 2022)

A survey of collision avoidance systems for autonomous unmanned aerial vehicle. - Taehwan Kim; Seonah Lee 001 (ISE@APSEC, 2022)

Issue report classification using multimodal deep learning. - Changwon Kwak; Seonah Lee 001 (ISE@APSEC, 2022)

Duplicate Bug Report Summarization. - Samal Mukhtar; Seonah Lee 001 (ISE@APSEC, 2022)

Classifying issues into custom labels in GitBot. - Doje Park; Heetae Cho; Seonah Lee 001 (BotSE@ICSE, 2022)

Resource allocation through logistic regression and multicriteria decision making method in IoT fog computing. - Bashir Hayat; Seonah Lee 001; Kyong Hoon Kim (Trans. Emerg. Telecommun. Technol., 2022)

Classifying issue reports according to feature descriptions in a user manual based on a deep learning model. - Heetae Cho; Seonah Lee 001; Sungwon Kang (Inf. Softw. Technol., 2022)

Duplicate Bug Report Detection by Using Sentence Embedding and Faiss. - Sunho Lee; Seonah Lee 001 (ISE@APSEC, 2023)

A Combination of Classification and Summarization Techniques for Bug Report Summarization. - Samal Mukhtar; Seonah Lee 001 (ISE@APSEC, 2023)

Measuring Modularity in JavaScript-Based Microservices from Software Architectural Perspectives. - Claudia Cahya Primadani; Seonah Lee 001 (ISE@APSEC, 2023)

An Empirical Study on the Performance of Individual Issue Label Prediction. - Jueun Heo; Seonah Lee 001 (MSR, 2023)

A Systematic Literature Review of Issue-Based Requirement Traceability. - Yijing Lyu; Heetae Cho; Pilsu Jung; Seonah Lee 001 (IEEE Access, 2023)

A Comparison of Pretrained Models for Classifying Issue Reports. - Jueun Heo; Gibeom Kwon; Changwon Kwak; Seonah Lee 001 (IEEE Access, 2024)

A Multidocument Summarization Technique for Informative Bug Summaries. - Samal Mukhtar; Seonah Lee 001; Jueun Heo (IEEE Access, 2024)

Automated code-based test case reuse for software product line testing. - Pilsu Jung; Seonah Lee 001; Uicheon Lee (Inf. Softw. Technol., 2024)

A Study on Applying Large Language Models to Issue Classification. - Jueun Heo; Seonah Lee 001 (ICPC, 2025)

Reconstruction of an execution architecture view by identifying mapping rules for connectors. - Hwi Ahn; Sungwon Kang; Seonah Lee 001 (J. Syst. Softw., 2025)