A Trust Framework of Ubiquitous Healthcare with Advanced Petri Net Model. - Jaechang Nam (eHealth, 2008)

Calibrated Mutation Testing. - Jaechang Nam; David Schuler; Andreas Zeller (ICST Workshops, 2011)

Micro interaction metrics for defect prediction. - Taek Lee; Jaechang Nam; DongGyun Han; Sunghun Kim 001; Hoh Peter In (SIGSOFT FSE, 2011)

Automatic patch generation learned from human-written patches. - Dongsun Kim 001; Jaechang Nam; Jaewoo Song; Sunghun Kim 001 (ICSE, 2013)

Transfer defect learning. - Jaechang Nam; Sinno Jialin Pan; Sunghun Kim 001 (ICSE, 2013)

Mining Crash Fix Patterns. - Jaechang Nam; Ning Chen (CoRR, 2013)

Monitoring Student Activity in Collaborative Software Development - Daniel Dietsch; Andreas Podelski; Jaechang Nam; Pantelis M. Papadopoulos; Martin Schäf (CoRR, 2013)

CLAMI: Defect Prediction on Unlabeled Datasets (T). - Jaechang Nam; Sunghun Kim 001 (ASE, 2015)

REMI: defect prediction for efficient API testing. - Mijung Kim; Jaechang Nam; Jaehyuk Yeon; Soonhwang Choi; Sunghun Kim 001 (ESEC/SIGSOFT FSE, 2015)

Heterogeneous defect prediction. - Jaechang Nam; Sunghun Kim 001 (ESEC/SIGSOFT FSE, 2015)

Developer Micro Interaction Metrics for Software Defect Prediction. - Taek Lee; Jaechang Nam; DongGyun Han; Sunghun Kim 001; Hoh Peter In (IEEE Trans. Software Eng., 2016)

QTEP: quality-aware test case prioritization. - Song Wang 009; Jaechang Nam; Lin Tan 001 (ESEC/SIGSOFT FSE, 2017)

Designing bug detection rules for fewer false alarms. - Jaechang Nam; Song Wang 009; Yuan Xi; Lin Tan 001 (ICSE (Companion Volume), 2018)

Heterogeneous Defect Prediction. - Jaechang Nam; Wei Fu 002; Sunghun Kim 001; Tim Menzies; Lin Tan 001 (IEEE Trans. Software Eng., 2018)

A bug finder refined by a large set of open-source projects. - Jaechang Nam; Song Wang 009; Yuan Xi; Lin Tan 001 (Inf. Softw. Technol., 2019)

Deep Semantic Feature Learning for Software Defect Prediction. - Song Wang 009; Taiyue Liu; Jaechang Nam; Lin Tan 001 (IEEE Trans. Software Eng., 2020)

Continuous Software Bug Prediction. - Song Wang 009; Junjie Wang 001; Jaechang Nam; Nachiappan Nagappan (ESEM, 2021)

Explainable Software Defect Prediction: Are We There Yet? - Jiho Shin; Reem Aleithan; Jaechang Nam; Junjie Wang 001; Song Wang 009 (CoRR, 2021)

A Survey of Automatic Code Generation fromNatural Language. - Jiho Shin; Jaechang Nam (J. Inf. Process. Syst., 2021)

On the Naturalness of Bytecode Instructions. - Yoon-Ho Choi; Jaechang Nam (ASE, 2022)

An Empirical Study on the Stability of Explainable Software Defect Prediction. - Jiho Shin; Reem Aleithan; Jaechang Nam; Junjie Wang 001; Nima Shiri Harzevili; Song Wang 009 (APSEC, 2023)

WINE: Warning miner for improving bug finders. - Yoon-Ho Choi; Jaechang Nam (Inf. Softw. Technol., 2023)

EnCus: Customizing Search Space for Automated Program Repair. - Seongbin Kim; Sechang Jang; Jindae Kim 001; Jaechang Nam (ICST, 2025)

Pre-trained Models for Bytecode Instructions. - Donggyu Kim; Taemin Kim; Jiho Shin; Song Wang; Heeyoul Choi; Jaechang Nam (ICST, 2025)

Hallucination by Code Generation LLMs: Taxonomy, Benchmarks, Mitigation, and Challenges. - Yunseo Lee; John Youngeun Song; Dongsun Kim; Jindae Kim 001; Mijung Kim; Jaechang Nam (CoRR, 2025)