Software Design and Analysis
Research Staff
-
Professor
Hajimu IIDA -
Associate Professor
Kohei ICHIKAWA -
Assistant Professor
Yutaro KASHIWA
Affiliate Associate Professor Toshinori TAKAI Affiliate Associate Professor Yasushi TANAKA Affiliate Assistant Professor Toshiki HIRAO |
sdlab-contact@is.naist.jp | |
To the site | https://sdlab.naist.jp/ |
Research Areas
Fig.1 Social network analysis tool for Open Source Software developments
Fig.2 Software development history visualization tool using topic extraction method
Fig.3 Scatter plot for code clone analysis
Fig.4 Demonstration environment for international OpenFlow network
Fig.5 In-situ workflow spanning across heterogeneous clusters
Modeling and management / improvement of the software development process
- Process modeling / analysis / improvement
- Project information visualization & management support
- Social network analysis for open source projects
- Project re-player (virtual re-play of projects)
- Development process simulation
Repository mining
- History analysis of source code (code clones / design patterns)
- Fine grain process analysis of software maintenance
- Extracting topics from developers' mailing lists
Software design & verification
- Super-upper process design
- Searching / detecting design patterns
- System and software assurance
- Software risk analysis
Cloud infrastructure design
- Virtual computing environments deployment
- Software defined network (SDN) deployment
- Experiments on widely distributed systems
- Resource management
High-performance computing
- In-situ processing and visualization
- Resource management in in-situ workflows
- Optimization and parallelization of scientific software
- I/O middleware for large-scale supercomputers
Key Features
In the Software Design & Analysis Laboratory, we conduct research on the methods and technologies which support the design / development of software and cloud computing systems. Our main focus is on the analysis and improvement of the software development process. Software technology is increasingly present in our daily lives, including various software embedded machinery and electronic devices for homes or mobile telephones and social infrastructures represented by cloud computing systems.
Research Equipment
We maintain a private cloud system for software analysis and cloud computing research integrated with a virtualization platform. This system comprises 47TiB of ultra high-speed and reliable network storage and a cluster of blade servers equipped with a total of 128 CPU cores and 576GiB of RAM. We have access to multiple leadership-class supercomputers, including USA's Summit and Japan's ABCI and Flow, for HPC research.