Joost Visser gives keynote at SEN symposium
More and more, software incorporates components of Machine Learning. Joost Visser, professor at the Leiden Institute of Advanced Computer Science (LIACS), is invited as keynote speaker at the seventh Dutch national symposium on software engineering (SEN) to talk about this topic.
The SEN Symposium is organized by VERSEN, the Dutch National Association for Software Engineering. It brings together researchers in this broad field and focusses on exchanging research results and addressing new directions that are related to emerging societal challenges. Visser will give a keynote about how the software engineering discipline must adapt to the strong increase in usage of machine learning components in software systems. He specifically focusses on how software engineering techniques can be used to improve the quality, robustness, and trustworthiness of these systems.
Raakvlak van Software Engineering and Machine Learning
In his research, Visser focusses on the combining the field of Software Engineering with other fields, such as Machine Learning. He is involved in the SE4ML (Software Engineering for Machine Learning) project, which investigates how Machine Learning components can be best incorporated in software. In the project, Visser and his team identified the best practices that are used in incorporating Machine Learning in software and examined how other engineering teams take up these practices. At the moment, they are conducting a survey about responsible use of Machine Learning and about the adoption of different AutoML techniques.
Text: Chris Flinterman