Waseda University · Computer Science
Professor Hironori Washizaki's research lab specializes in software engineering, with a focus on improving the design, reuse, and security of software systems. The lab explores patterns—particularly in IoT, machine learning, and security domains—to enhance system scalability, maintainability, and reusability. It also investigates advanced software architectures and aspect-oriented programming techniques to achieve better separation of concerns in modern web and component-based systems. The lab emphasizes practical adoption of patterns through systematic classification, modeling, and awareness-raising initiatives.
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In component-based software development, it is necessary to measure the reusability of components in order to realize the reuse of components effectively. There are some product metrics for measuring the reusability of object-oriented software. However, in application development with reuse, it is difficult to use conventional metrics because the source codes of components cannot be obtained, and these metrics require analysis of source codes. We propose a metrics suite for measuring the reusabi
Due to the widespread proliferation of today's Internet of Things (IoT), a system designer needs the IoT system and software design patterns to assist in designing scalable and replicable solutions. Patterns are encapsulations of reusable common problems and solutions under specific contexts. Many IoT patterns have been published, such as IoT design patterns and IoT architecture patterns to document the successes (and failures) in IoT systems and software development. However, because these patt
In this study, a multivocal literature review identified 15 software-engineering design patterns for machine learning applications. Findings suggest that there are opportunities to increase the patterns’ adoption in practice by raising awareness of such patterns within the community.
There are a large number of security patterns encapsulating reusable solutions to recurrent security problems. However, catalogs of security patterns are not enough because the designer does not know when and where to apply them, especially in a large complex system. There is a need to conduct more precise classifications of security patterns. We analyze here ways to represent security patterns using specialized models for their precise classification. We define two new types of models, one that
JavaScript is a popular scripting language that is particularly useful for client-side programming together with HTML /XML on the Web. As JavaScript programs become more complex and large, separation of concerns at the implementation level is a significant challenge. Aspect orientation has been a well known concept to realize improved separation; however, existing mechanisms require modifications in the target modules for aspect weaving in JavaScript (i.e., not "complete" separation). In this pa
Patterns are encapsulations of problems and solutions under specific contexts. As the industry is realizing many successes (and failures) in IoT systems development and operations, many IoT patterns have been published such as IoT design patterns and IoT architecture patterns. Because these patterns are not well classified, their adoption does not live up to their potential. To understand the reasons, this paper analyzes an extensive set of published IoT architecture and design patterns accordin
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