Natthawute Sae-Lim (M)

Ph.D. Student
Saeki Laboratory
Department of Computer Science
Tokyo Institute of Technology
Email: natthawute [at] se.cs.titech.ac.jp


About Me

I am a Ph.D. student at Tokyo Institute of Technology, Japan. I received Master’s degree in Computer Science from the same university and Bachelor’s degree in Computer Engineering from King Mongkut’s Institute of Technology Ladkrabang in Thailand. My current research specifically focuses on code smells detection and prioritization, as a way to improve source code quality.

Research Interest: Empirical Software Engineering, Mining Software Repositories, Code Smells

Publications

Journals

  1. An Investigative Study on How Developers Filter and Prioritize Code Smells
    Authors: Natthawute Sae-Lim, Shinpei Hayashi, Motoshi Saeki
    Journal: IEICE Transactions on Information and Systems, 2018
  2. Context-Based Approach to Prioritize Code Smells for Prefactoring
    Authors: Natthawute Sae-Lim, Shinpei Hayashi, Motoshi Saeki
    Journal: Journal of Software: Evolution and Process, 2017
    Preprint: PDF

International Conferences/Workshops (Refereed)

  1. A Preliminary Study on Using Code Smells to Improve Bug Localization
    Authors: Aoi Takahashi, Natthawute Sae-Lim, Shinpei Hayashi, Motoshi Saeki
    Venue: The 26th IEEE/ACM International Conference on Program Comprehension (ICPC 2018), Gothenburg, Sweden
    Preprint: PDF
  2. How Do Developers Select and Prioritize Code Smells? A Preliminary Study
    Authors: Natthawute Sae-Lim, Shinpei Hayashi, Motoshi Saeki
    Venue: The 33rd International Conference on Software Maintenance and Evolution (ICSME 2017), Shanghai, China
    Preprint: PDF | Slides
  3. Revisiting Context-Based Code Smells Prioritization: On Supporting Referred Context
    Authors: Natthawute Sae-Lim, Shinpei Hayashi, Motoshi Saeki
    Venue: The Ninth International Workshop on Managing Technical Debt (MTD 2017), Cologne, Germany
    Preprint: PDF | Slides
  4. Context-Based Code Smells Prioritization for Prefactoring
    Authors: Natthawute Sae-Lim, Shinpei Hayashi, Motoshi Saeki
    Venue: The 24th IEEE International Conference on Program Comprehension (ICPC 2016), Austin, Texas, USA
    Preprint: PDF | Slides

Domestic Conferences

  1. Using Code Smell Severity to Improve IR-Based Bug Localization (in Japanese) [Student Research Award]
    Authors: Aoi Takahashi, Natthawute Sae-Lim, Shinpei Hayashi, Motoshi Saeki
    Venue: IPSJ Technical Report (SIGSE), 2018, Tokyo, Japan
    Preprint: PDF
  2. Toward Prioritzing Code Smell Detection Results for Prefactoring [Research Award]
    Authors: Natthawute Sae-Lim, Shinpei Hayashi, Motoshi Saeki
    Venue: IEICE Technical Report (SIGSS), 2015, Hokkaido, Japan
    Preprint: PDF | Slides

Awards

  1. Seiichi Tejima Overseas-Student Research Award
    • Tokyo Institute of Technology
  2. Research Award
    • Software Science Research Society, The Institute of Electronics, Information and Communication Engineers
  3. First Class Honors of Bachelor’s Degree
    • King Mongkut’s Institute of Technology Ladkrabang
  4. Dean’s List, Scholastic Achievement
    • King Mongkut’s Institute of Technology Ladkrabang
  5. Gold Award: Application for Mobile Devices Category
    • Samart Innovation Awards 2011

Scholarships

  1. Japanese Government Scholarship (Monbukagakusho: MEXT)
    • Ministry of Education, Culture, Sports, Science and Technology, Japan, 2014-2019
  2. GE Foundation Scholarship - Leader Program
    • General Electric Company, 2009-2012
  3. Student Exchange Support Program
    • Japan Student Services Organization (JASSO), 2012
  4. Excellent Academic Scholarship
    • King Mongkut’s Institute of Technology Ladkrabang, 2011
  5. Bangchak Scholarship
    • Bangchak Petroleum Public Company Limited, 2010

Professional Activities

  1. Program Comittee
    • The 25th Asia-Pacific Software Engineering Conference (APSEC 2018), ERA Track
  2. Social Networking Chair
    • The 9th International Workshop on Empirical Software Engineering in Practice (IWESEP 2018)
  3. Web (Co)-Chair
    • The First International Workshop on Mining and Analyzing Interaction Histories (MAINT 2018)
    • The 8th International Workshop on Empirical Software Engineering in Practice (IWESEP 2017)
  4. Organizing Committee
    • The 7th Thailand-Japan International Academic Conference (TJIA 2016)
  5. Student Volunteer
    • The 35th International Conference on Conceptual Modeling (ER 2016)
    • The 23rd IEEE International Conference on Software Analysis, Evolution, and Reengineering (SANER 2016)

Professional Developments (MOOCs)

  1. Data Scientist with Python Track, DataCamp
    Certificate: PDF
  2. Statistics for Business Analytics A-Z™, Udemy
    Certificate: PDF
  3. Python for Data Science and Machine Learning Bootcamp, Udemy
    Certificate: PDF