Concept

At SDLab, we conduct research on techniques that support software development and design. Especially, while preserving human’s creativity, we focus on engineering supports such as design process, modeling theory of design information and implementation techniques.

Research

At SDLab, we are conducting research on techniques that support software development. Our current research topics include:

  • Analysis of software-related data such as source code and development history
  • Analysis of development process and software design
  • Virtualization technology, in particular SDN (Software Defined Networking)
  • Software analytics (data analysis that helps developers to understand the progress of software development projects and make better decisions)
  • HPC (High Performance Computing, large-scale scientific computing using supercomputers)

Please see here for details.

News

A new project just started, supported by 'ASPIRE for the Next Generation (AI and Information)'
Our laboratory, in collaboration with Kyushu University, has started a new project funded by the “ASPIRE for the Next Generation (AI and Information)” program by the Japan Science and Technology Agency (JST). The project has been awarded a total of 900 million yen. This research project, titled “International Brain Circulation Initiative for Context-Aware AI in Software Development,” aims to promote international collaborative research. The ASPIRE Program for International Joint Research Promotion aims to accelerate international brain circulation by connecting top researchers from Japan and leading scientific and technological countries and regions through international joint research in strategically important scientific and technological fields.
Last updated on Dec 18, 2024 2 min read
A new project just started, supported by 'ASPIRE for the Next Generation (AI and Information)'
Students from our laboratory presented their research at FOSE 2024
Ryoji Agatsuma and Ibuki Nakamura from our laboratory presented at the Foundation of Software Engineering 2024 (FOSE2024), taken place in Saga prefecture from November 28 to 30, 2024. Mr. Agatsuma presented “An Analysis of Software Quality Using Automated Driving Simulation Test Results.” This research analyzed the relationship between automated driving simulation test results and software quality metrics. The findings revealed that code groups associated with failed simulation tests tend to exhibit higher values of software quality metrics, including code smells and complexity measures.
Dec 10, 2024 1 min read
Students from our laboratory presented their research at FOSE 2024
Mr. Nakagawa presented his research at IEICE Technical Committee on Internet Architecture (IA)
On November 13, 2024, Kota Nakagawa from our laboratory presented his research at IEICE Technical Committee on Internet Architecture (IA). He introduced his research titled “A Proposal of Optimizing Path Selection Based on INT Delay Measurement”, which proposed a method for selecting low-latency paths using In-band Network Telemetry (INT) and SRv6. His presentation was recognized with a Student Research Award.
Nov 29, 2024 1 min read
Mr. Nakagawa presented his research at IEICE Technical Committee on Internet Architecture (IA)
Mr. Morikawa presented his research at ICSME 2024
Yasuhito Morikawa, an M2 student in our laboratory, presented the following paper at The 40th International Conference on Software Maintenance and Evolution (ICSME2024) on Oct 9th-11th, 2024. Yasuhito Morikawa, Yutaro Kashiwa, Kenji Fujiwara, Hajimu Iida: RevToken: A Token-Level Review Recommendation: How Far Are We?, In Proceedings of the 40th IEEE International Conference on Software Maintenance and Evolution(ICSME2024), Oct. 2024. This study proposes a token-level approach to recommend where developers review, which is finer-grained than the previous studies, with the aim of reducing the burden on reviewers in the review process.
Nov 5, 2024 1 min read
Mr. Morikawa presented his research at ICSME 2024
Mr. Mabuchi presented his research at SCAM 2024
Wataru Mabuchi, an M2 student in our laboratory, presented the following paper at The 24th International Conference on Source Code Analysis & Manipulation(SCAM2024) on Oct 7th-8th, 2024. Wataru Mabuchi, Yutaro Kashiwa, Kenji Fujiwara, Hajimu Iida: “An Empirical Investigation Into the Use of Dockerfile Preprocessors for Docker Image Management”, In Proceedings of The 24th Source Code Analysis and Manipulation (SCAM2024), Oct. 2024. This study conducted an empirical investigation into the use of Dockerfile Preprocessors (DPP), a set of scripts designed to generate Dockerfiles compatible with multiple environments.
Nov 5, 2024 1 min read
Mr. Mabuchi presented his research at SCAM 2024
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