| 2026 | ICST | Early Warning of Performance Degradation in Object Detection Models via Explainable AI. | Jia Shin, Uicheon Lee, Seonah Lee |
| 2025 | QRS | An Integrated Metric for Modularity in a Microservice System. | Claudia Cahya Primadani, Seonah Lee |
| 2023 | APSEC | Duplicate Bug Report Detection by Using Sentence Embedding and Faiss. | Sunho Lee, Seonah Lee |
| 2023 | APSEC | A Combination of Classification and Summarization Techniques for Bug Report Summarization. | Samal Mukhtar, Seonah Lee |
| 2023 | APSEC | Measuring Modularity in JavaScript-Based Microservices from Software Architectural Perspectives. | Claudia Cahya Primadani, Seonah Lee |
| 2023 | MSR | An Empirical Study on the Performance of Individual Issue Label Prediction. | Jueun Heo, Seonah Lee |
| 2022 | APSEC | Java2Pseudo: Java to Pseudo Code Translator. | Heetae Cho, Seonah Lee |
| 2022 | APSEC | A survey of collision avoidance systems for autonomous unmanned aerial vehicle. | Taehwan Kim, Seonah Lee |
| 2022 | APSEC | Issue report classification using multimodal deep learning. | Changwon Kwak, Seonah Lee |
| 2022 | APSEC | Duplicate Bug Report Summarization. | Samal Mukhtar, Seonah Lee |
| 2018 | ICSE | Agile requirement traceability matrix. | Serin Jeong, Heetae Cho, Seonah Lee |
| 2018 | SAC | Reconstruction of execution architecture view using dependency relationships and execution traces. | Hwi Ahn, Sungwon Kang, Seonah Lee |
| 2013 | ICSE | NavClus: a graphical recommender for assisting code exploration. | Seonah Lee, Sungwon Kang, Matt Staats |
| 2011 | SERA | A Study on Guiding Programmers' Code Navigation with a Graphical Code Recommender. | Seonah Lee, Sungwon Kang |
| 2006 | SEKE | Verifying a Software Architecture Reconstruction Framework with a Case Study. | Seonah Lee, Sungwon Kang |
| 2002 | PROFES | Transition Management of Software Process Improvement. | Seonah Lee, Byoungju Choi |