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Takashi Kobayashi Lab
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The lab analyzes software artifacts and development histories to support software development.
AboutAbout the lab
Putting reusable experience to work in development.
The Takashi Kobayashi Lab studies software engineering, particularly software maintenance and design support.
It takes an approach of analyzing large amounts of software artifacts to discover information that is useful for supporting development.
The analysis targets include not only source code and execution histories, but also the histories of development activities.
The lab builds support methods and tools by combining static and dynamic analysis techniques with natural language processing, data mining, and machine learning.
Key terms
- Software maintenance
- The ongoing work of modifying software after it has been completed, in order to fix defects and add features
- Static analysis and dynamic analysis
- Two ways of examining a program: by reading it without running it, and by actually running it
- Data mining
- A set of techniques for extracting useful rules and trends from large amounts of data
NewsLab news
Student's presentation received the Research Encouragement Award from the IEICE Technical Committee on Software Science
Received the Best Paper Award at the Software Engineering Symposium
Received the Research Paper Award from the Japan Society for Software Science and Technology
Student's presentation received the Student Encouragement Award and the Outstanding Presentation Award at the Annual Conference of the Japan Society for Software Science and Technology
Student's presentation received the Research Encouragement Award from the IEICE Technical Committee on Software Science
ResearchResearch themes
The lab conducts research on software engineering, particularly software maintenance and design support. It is interested in the approach of analyzing large amounts of software artifacts to inductively discover information that is useful for supporting development.
*Illustrative imageSoftware Maintenance and Design Support
Within software engineering, the lab focuses on maintenance, the work of continuing to fix software after it has been built, and on mechanisms that support design. It aims to apply reusable experience gained in one development effort to the next.
*Illustrative imageDiscovery from Development Artifacts
The lab analyzes large amounts of software artifacts to inductively discover information that is useful for supporting development. The analysis targets include not only source code and execution histories, but also the histories of development activities.
*Illustrative imageCombining Analysis and Learning
The lab researches and develops methods and tools that support development by combining static and dynamic software analysis techniques with natural language processing, data mining, machine learning, and other approaches.
MembersFaculty
The members of the Takashi Kobayashi Lab are faculty, students in the doctoral and master's programs, and research students.As of 2026
- ProfessorTakashi Takashi KobayashiPublications ↗
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Report an errorAbout the images
The top and research theme images are illustrative and were not taken at the lab. They are cropped from Wikimedia Commons images. Cropped CC BY-SA images are provided under the same CC BY-SA license as the original (version shown on each line).
- Top image: “Vim8-autocompletion-go-syntastic” Vitaly Zdanevich / CC0 (cropped)
- Software Maintenance and Design Support: “Git log color” Der Messer / CC BY-SA 3.0 (cropped)
- Discovery from Development Artifacts: “Cdsan-Samples-CppParseTree-01-HiRes” Code-Analysis / CC BY-SA 3.0 (cropped)
- Combining Analysis and Learning: “GNU Emacs showing a Magit buffer” StereoFolic / CC BY-SA 4.0 (cropped)
- Related lab (Gondow Lab): “Eclipse suspended at breakpoint” Simeon87 / Public domain (cropped)
- Related lab (Shinpei Hayashi Lab): “CodeCharta Software Map 1” Roki68199 / CC BY-SA 4.0 (cropped)
- Related lab (Nishizaki Lab): “Punched card program deck.agr” ArnoldReinhold / CC BY-SA 3.0 (cropped)
- Related lab (Xavier Défago Lab): “Kilobot robot swarm” asuscreative / CC BY-SA 4.0 (cropped)
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