Publications.

Peer-reviewed Papers/Posters

• New Donggyu Kim, Taemin Kim, Ji-ho Shin, Song Wang, Heeyoul Choi and Jaechang Nam, Pre-trained Models for Bytecode Instructions, in Proceedings of the 18th IEEE International Conference on Software Testing, Verification and Validation (ICST 2025, Short Papers, Vision and Emerging Results), March 31 - April 4, 2025. To appear
• New Seongbin Kim, Sechang Jang, Jindae Kim and Jaechang Nam, EnCus: Customizing Search Space for Automated Program Repair, in Proceedings of the 18th IEEE International Conference on Software Testing, Verification and Validation (ICST 2025, Short Papers, Vision and Emerging Results), March 31 - April 4, 2025. To appear
• Jiho Shin, Reem Aleithan, Jaechang Nam, Junjie Wang, Nima Shiri Harzevili, and Song Wang, An Empirical Study on the Stability of Explainable Software Defect Prediction, in Proceedings of the 30th Asia-Pacific Software Engineering Conference (APSEC2023), Dec 5 - 7, 2023 (Acceptance rate: 33.5%) Distinguished paper award!
• Yoon-ho Choi and Jaechang Nam, WINE: Warning Miner for Improving Bug Finders, Information and Software Technology, Volume 155, March 2023. [https://doi.org/10.1016/j.infsof.2022.107109]
• Yoon-ho Choi and Jaechang Nam, On the Naturalness of Bytecode Instructions, in Proceedings of the 37th IEEE/ACM International Conference on Automated Software Engineering (ASE 2022, NIER track), Ann Arbor, Michigan, USA, October 10 - 14, 2022. (Acceptance rate: 36%) [Preprint] [Project CONAL-04]
• Song Wang, Junjie Wang, Jaechang Nam and Nachiappan Nagappan, Continuous Software Bug Prediction, in Proceedings of the 15th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM2021), Oct 13 - 15, 2021, (Acceptance rate: 19.4%)
• Jiho Shin and Jaechang Nam, A Survey of Automatic Code Generation from Natural Language, in The Journal of Information Processing Systems (JIPS), vol. 17, no. 3, June 2021. [JIPS] [Read the Unofficial draft (as the journal publication has page limit) Project Jarvis-01] (This survey paper will be one of foundations of research studies coundcted by ISEL to achieve the ultimate goal to enable the communications with computers through natural languages-CONAL. CONAL will be a way to free developers from the labor-intensive coding.)
• Song Wang, Tai Yue, Jaechang Nam, and Lin Tan, Deep Semantic Feature Learning for Software Defect Prediction, IEEE Transactions on Software Engineering (TSE), vol. 46, no. 12, pp. 1267-1293, 1 Dec. 2020, DOI: 10.1109/TSE.2018.2877612 [IEEE Xplore]
• Jaechang Nam, Song Wang, Xi Yuan, and Lin Tan, A Bug Finder Refined by a Large Set of Open-Source Projects, Information and Software Technology, Volume 112, August 2019, Pages 164-175, DOI: https://doi.org/10.1016/j.infsof.2019.04.014, [Preprint].
• Jaechang Nam, Wei Fu, Sunghun Kim, Tim Menzies, and Lin Tan, Heterogeneous Defect Prediction, IEEE Transactions on Software Engineering (TSE), Volume: 44, Issue: 9, 874-896, September 2018. DOI: 10.1109/TSE.2017.2720603 [IEEE Xplore] [PDF]
• Jaechang Nam, Song Wang, Yuan Xi, and Lin Tan, Poster: Designing Bug Detection Rules for Fewer False Alarms, Proceedings (Companion Volume) of the 40th International Conference on Software Engineering (ICSE 2018), Gothenburg, Sweden, May 27 - June 3, 2018. [ACM DL] [LINK] [PDF]
• Song Wang, Jaechang Nam, and Lin Tan, QTEP: Quality-aware Test Case Prioritization, in Proceedings of the European Software Engineering Conference and the ACM SIGSOFT Symposium on the Foundations of Software Engineering (ESEC/FSE 2017), Paderborn, Germany, September 04 – 08, 2017. (Acceptance rate: 24.4%) [PDF]
• Taek Lee, Jaechang Nam, Donggyun Han, Sunghun Kim, and Hoh Peter In, Developer Micro Interaction Metrics for Software Defect Prediction, IEEE Transactions on Software Engineering (TSE), 2016. DOI: 10.1109/TSE.2016.2550458 [IEEE Xplore]
• Jaechang Nam and Sunghun Kim, CLAMI: Defect Prediction on Unlabeled Datasets, in Proceedings of the 30th IEEE/ACM International Conference on Automated Software Engineering (ASE 2015), Lincoln, Nebraska, USA, November 9 - 13, 2015. (Acceptance rate: 20.8%) [PDF] [Tool]
• Jaechang Nam and Sunghun Kim, Heterogeneous Defect Prediction, in Proceedings of the European Software Engineering Conference and the ACM SIGSOFT Symposium on the Foundations of Software Engineering (ESEC/FSE 2015), Bergamo, Italy, August 31 - September 4, 2015. (Acceptance rate: 25.4%) [PDF]
• Mijung Kim, Jaechang Nam, Jaehyuk Yeon, Soonhwang Choi, and Sunghun Kim, REMI: Defect Prediction for Efficient API Testing, in Proceedings of the European Software Engineering Conference and the ACM SIGSOFT Symposium on the Foundations of Software Engineering (ESEC/FSE 2015, Industrial track), Bergamo, Italy, August 31 - September 4, 2015. (Acceptance rate: 33%) [PDF]
• Dongsun Kim, Jaechang Nam, Jaewoo Song, and Sunghun Kim, Automatic Patch Generation Learned from Human-written Patches, in Proceedings of 35th International Conference on Software Engineering (ICSE 2013), San Francisco, May 18-26, 2013. (Acceptance rate: 18.5%) [Slides>] ACM SIGSOFT Distinguished Paper Award Winner [https://www.darkrsw.net/papers/ICSE2013.pdf target=_NEW>PDF]
• Jaechang Nam, Sinno Jialin Pan, and Sunghun Kim, Transfer Defect Learning, in Proceedings of 35th International Conference on Software Engineering (ICSE 2013), San Francisco, May 18-26, 2013. (Acceptance rate: 18.5%) [Slides] Nominee, ACM SIGSOFT Distinguished Paper Award [LINK]
• Taek Lee, Jaechang Nam, Donggyun Han, Sunghun Kim, and Hoh Peter In, Micro Interaction Metrics for Defect Prediction, in Proceedings of the European Software Engineering Conference and the ACM SIGSOFT Symposium on the Foundations of Software Engineering (ESEC/FSE 2011), Szeged, Hungary, September 5-9, 2011. (Acceptance rate: 16.7%) [LINK]
• Jaechang Nam, David Schuler, and Andreas Zeller, Calibrated Mutation Testing, in Proceedings of the 4th International Workshop on Mutation Analysis (Mutation 2011), Berlin, 2011. [PDF]
• Jaechang Nam, Trust Framework of Ubiquitous Healthcare with Advanced Petri Net Model, in Proceeding of First International ICST Conference on Electronic Healthcare for the 21st century (eHealth 2008), London, 2008. [PDF]

Domestic publications written in Korean

• New Jooyoung Jang, Jaeho Bae, Daeseok Kim, and Jaechang Nam, Detecting Security Vulnerabilities Using a GPT Model, KIISE Transactions on Computing Practices, 30(12), 611-618, 2024. 12. [https://doi.org/10.5626/KTCP.2024.30.12.611]
• New Suhyun Park, Jaechang Nam, and Shin Hong An Empirical Study of MISRA-C Related Source Code Changes in Open-source Software Projects, Journal of KIISE, Vol. 51, No. 8, pp. 718-728, 2024. 8. [https://doi.org/10.5626/JOK.2024.51.8.718]
• New Sechang Jang, Junhyeok Choi, Seongbin Kim, Jindae Kim, and Jaechang Nam, SPI: Similar Patch Identifier for Automated Program Repair, in Proceedings of Korea Computer Congress (KCC2024), Korea, June 26 - June 28, 2024 Best paper award
[Link]
• Daeseok Kim, Jooyoung Jang, Jaeho Bae, Jaechang Nam, Survey on Security Vulnerability Detection Techniques based on Bytecode Analysis, in Proceedings of Korea Conference on Software Engineering (KCSE2023), Korea, Feb 8 - 10, 2023 Best paper award
• Changgong Lee , Yeawon Na, Yoonho Choi, Gun-woo Lee, Myung-seok Choi, Jaechang Nam, Analysis of Code Change Based on Edit Script of Abstract Syntax Tree, in Proceedings of Korea Conference on Software Engineering (KCSE2023), Korea, Feb 8 - 10, 2023
• Junhyun Kim, Hahyun Baek, Jaechang Nam, Survey on Deep Just-In-Time Defect Localization, in Proceedings of Korea Conference on Software Engineering (KCSE2023), Korea, Feb 8 - 10, 2023
• Yeawon Na, Jueun Seo, Jaechang Nam, Survey on Intelligent Tutoring System for Programming Education, in Proceedings of Korea Conference on Software Engineering (KCSE2023), Korea, Feb 8 - 10, 2023
• Seongbin Kim, Junhyeok Choi, Jaechang Nam, Survey on Bytecode-based Automated Program Repair Technology, in Proceedings of Korea Conference on Software Engineering (KCSE2023), Korea, Feb 8 - 10, 2023
• Yoon-ho Choi, Chang-gong Lee, Jaechang Nam, An Empirical Study on Defects in Open Source Artificial Intelligence Applications, in Journal of KIISE, Korea, vol. 49, no. 8, August 2022. (The extension of the KCSE2022 paper) [https://doi.org/10.5626/JOK.2022.49.8.633]
• Sujin Yang and Jaechang Nam, Mining Software Metrics for Characterizing Developers and its applications, in Proceedings of Korea Computer Congress (KCC2022), Korea, June 29 - July 1, 2022 Best paper award! [Link] [Project CONAL-03]
• Jueun Seo, Bokwon Choi, Yeongbin Kim, Jaechang Nam, Automatic Evaluation System for Object-Oriented Programs, in Proceedings of Korea Computer Congress (KCC2022, UG track), Korea, June 29 - July 1, 2022 Best presentation award! [Link]
• Sunghyun Choi, Junghyun Heo, Chaewoo Yu, Jaechang Nam Analysis on Results of ConFix Execution Through Correct Patch Change Information, in Proceedings of Korea Computer Congress (KCC2022, UG track), Korea, June 29 - July 1, 2022 [Link] [Project CONAL-02]
• Insun Baek, Sujin Kwon, Sungsu Park, Sueun Park, Jaechang Nam Bi-metric Selection Based Unsupervised Defect Prediction, in Proceedings of Korea Conference on Software Engineering (KCSE2022), Korea, Jan 19 - 21, 2022
• Yoon-ho Choi, Chang-gong Lee, Jehyeong Bang, Jaechang Nam, An Empirical Study on Defects in Open Source Artificial Intelligence Applications, in Proceedings of Korea Conference on Software Engineering (KCSE2022), Korea, Jan 19 - 21, 2022, Best paper award!
• Juhui Han, Subin Yun, Sujin Yang, and Jaechang Nam, An Integrated Framework for Collecting Defect Data, in Proceedings of Korea Conference on Software Engineering (KCSE2021), UG track, Korea, Feb 1 - 2, 2021 [Framework]
• Sujin Kwon and Jaechang Nam, A Comparative Study on Unsupervised Learning Based Defect Prediction Approaches, in Proceedings of Korea Conference on Software Engineering (KCSE2021), UG track, Korea, Feb 1 - 2, 2021 Best paper award!
• Jiho Shin and Jaechang Nam, Similar Patch Recommendation for Actionable Defect Prediction, in Proceedings of Korea Conference on Software Engineering (KCSE2020), short paper, Pyeongchang, Korea, Feb 3 - 5, 2020 Best paper award!
• Eunji Won and Jaechang Nam, N-gram Log Probability Metric for Software Defect Prediction, in Proceedings of Korea Conference on Software Engineering (KCSE2020), short paper, Pyeongchang, Korea, Feb 3 - 5, 2020
• Chanmi Jeong and Jaechang Nam, Search Query Augmentation for Novice IoT Developers, in Proceedings of Korea Conference on Software Engineering (KCSE2020), UG track, Pyeongchang, Korea, Feb 3 - 5, 2020
• Byoung-Un Jeon, Byeong-Hun Son, Min-Young Jang, Woo-Sun Choi, Dong-Hyun Kim, and Jaechang Nam, Personal Color Diagnosing System Based on Machine Learning and Augmented Reality Texture Composite, Spring Conference of Korea Multimedia Society, 2019
• Jaehyung Baek, Jinbeom Song, Sangwon Seo and Jaechang Nam, A Scalable Big Data System Architecture for Visualization, in Proceedings of Korea Conference on Software Engineering (KCSE2020), UG track, Pyeongchang, Korea, Feb 3 - 5, 2020
• Yoonho Choi, Seokjin Kim, Yujin Kim, Hyunwoo Kwon, and Jaechang Nam, Mining Context for Detection Rule Revision of a Static Analysis tool, in Proceedings of Korea Conference on Software Engineering (KCSE2019), short paper, Pyeongchang, Korea, Jan 28 - 30, 2019
• Juhye Lee, Youngin Jin, and Jaechang Nam, Software Defect Prediction using Generative Adversarial Network, in Proceedings of Korea Conference on Software Engineering (KCSE2019), short paper, Pyeongchang, Korea, Jan 28 - 30, 2019
• Seongbin Lim, Sujin Yang, and Jaechang Nam, Mining Fix Patches In Open Source Software Archive, in Proceedings of Korea Conference on Software Engineering (KCSE2019), UG track, Pyeongchang, Korea, Jan 28 - 30, 2019

Technical/Project Report

• Jaechang Nam, Survey on Software Defect Prediction, HKUST PhD Qualifying Examination, July 3, 2014. [PDF] [Slide]
• Daniel Dietsch, Andreas Podelski, Jaechang Nam, Pantelis M. Papadopoulos, and Martin Schäf, Monitoring Student Activity in Collaborative Software Development, arXiv:1305.0787 [cs.CY], 2013. [PDF]
• Jaechang Nam and Ning Chen, Mining Crash Fix Patterns, arXiv:1311.1895 [cs.SE], 2013. [PDF]

Dissertation

• Jaechang Nam, Software Defect Prediction on Unlabeled Datasets, PhD Thesis, 2015. [PDF] [Slide]
• Jaechang Nam, Component Reusability Analysis for Exchanging Electronic Health Records, Master's Thesis, 2009. [PDF]

Education

• 2009 ~ 2015 : The Hong Kong University of Science and Technology, Hong Kong - PhD in Computer Science and Engineering
• 2007 ~ 2009 : Blekinge Institute of Technology, Sweden - Master of Science (MSc) in Computer Science
• 1998 ~ 2002 : Handong Global University, Korea - Bachelor of Management / Engineering in Computer Science

Work Experience

• Research Assistant Professor @Computer Science and Engineering at POSTECH (Pohang University of Science and Technology), Korea, Oct. 2017 ~ Feb. 2018.
• Postdoctoral Fellow @Electrical and Computer Engineering at University of Waterloo, ON, Canada, Sep. 2015 ~ Sep. 2017.
• Fellow @International Institute for Software Technology at United Nations University, Macau, Jun. 2012 ~ Aug. 2013.
• Instructor @Yanbian University of Science and Technology, China, Course: Software Engineering, 2012 Summer.
• Internship @Software Engineering Chair at Saarland University, Germany, Jun. 2010 ~ Aug. 2010.
• Teaching Assistant @CSE Department at HKUST
  COMP3111/H: Introduction to Software Engineering (2010 Spring:Lab, 2011 Spring:Lab, 2012 Spring:Project Master, 2013 Fall:Tutorial and Lab, and 2014 Spring:Project Master.)
  COMP1022P: Introduction to Computing with Java (2011 Fall)
• Freelance Software Engineer, Korea, Oct. 2005 ~ Jun. 2007.
• Program Development Officer (First lieutenant) @The 2nd Logistics Support Command in R.O.K. Army, Oct. 2003 ~ Jun. 2005.
• Head of Computer Center (Second lieutenant) @The 16th Supply Battalion in R.O.K. Army, Sep. 2002 ~ Sep. 2003.
• Research Assistant @GIS institute at Handong Global University, Korea, Jun. 1999 ~ Dec. 2001.

Academic Service

Journal

• IEEE Transactions on Software Engineering, 2015 ~ 2022, Reviewer
• ACM Transactions on Software Engineering and Methodology, 2017, 2019, 2020 Reviewer
• Automated Software Engineering (Springer), 2017 ~ 2021, Reviewer
• Information and Software Technology (Elsevier), 2016 ~ 2020 Reviewer
• IET Software, 2017, Reviewer
• Empirical Software Engineering (Springer), 2013, 2015 ~ 2022, Reviewer
• Software Quality Journal (Springer), 2016, Reviewer
• Journal of Software: Evolution and Process (Wiley), 2016, 2019, Reviewer

Conference/Workshop

• The 29th Asia-Pacific Software Engineering Conference (APSEC 2022), PC member
• The 36th IEEE/ACM International Conference on Automated Software Engineering (ASE 2021), PC member
• The 9th International workshop on Realizing Artificial Intelligence Synergies in Software Engineering (RAISE 2021), PC member
• The 35th IEEE/ACM International Conference on Automated Software Engineering (ASE 2020), PC member
• The 17th International Conference on Mining Software Repositories (MSR 2020), PC member
• The 42nd International Conference on Software Engineering (ICSE 2020), SEIP track PC member
• International Conference on Predictive Models and Data Analytics in Software Engineering (PROMISE 2017~2020), PC member
• The 14th International Conference on Mining Software Repositories (MSR 2017), PC member
• The 8th IEEE International Workshop on Empirical Software Engineering in Practice (IWESEP 2017), Program co-chair
• The 8th International Symposium on Search Based Software Engineering (SSBSE 2016), Subreviewer
• The 23rd IEEE International Conference on Software Analysis, Evolution, and Reengineering (SANER 2016), Subreviewer
• The 12th Working Conference on Mining Software Repositories (MSR2015), MSR Challenge Committee
• The Foundations of Software Engineering (FSE2014), Artifact Evaluation Committee
• European Software Engineering Conference and the ACM SIGSOFT Symposium on the Foundations of Software Engineering (ESEC/FSE 2013), Subreviewer
• The 6th India Software Engineering Conference (ISEC 2013), Subreviewer

Invited Talk

• Software Defect Prediction: Trends and Challenges, MSR Asia Summit, Tokyo, Japan, March 2017.

Applications

• Lifove Bible (Multi-language Bible Viewer for Android), 2010.
  Introduced and interviewed in one of Korean newpapers: [1] [2] [3]
  Successor: KeepBible
• Lifove Hymns (Korean Hymns Lyrics Viewer for Android), 2010. (Initial version developer. Now published by Holysoft)
• NLTC Evaluation System (Education Information System), 2006.
• Article Archive(Cache) Sever (for PUST), 2006.
• Army Vehicle Insurance Management System (Confidential), 2004.
• Operation Map Information System (Web(SVG)-based Map Application for The 2nd Logistics Support Command, Secret), 2003.
• EDWGIS (Environmental Data Web GIS System, not available), 2001.
• Cyber Image Information System for KICT (Web-based Satellite Image Trading Market, prototype), 2001.
• GIS815 Cyber Research Community (Web-based Research Community, not available), 1999.

Others

• Korean Blog (Tistory) for graduate students.
• Calendar
  

Visited Countries