Info Support anticipates on upcoming and future challenges and ensures our engineers develop cutting-edge solutions based on the latest scientific insights. Our research community proactively tackles emerging technologies. We do this in cooperation with renowned scientists, making sure that research teams are positioned and embedded throughout our organization and our community, so that their insights are directly applied to our business.
We truly believe in sharing knowledge, so we want to do this without any restrictions.
Research Areas
Artificial Intelligence
Over the past years, cheap hardware, new algorithms, and loads of data have enabled new AI-based services that are changing our world. In-depth research can help us understand how to use these AI-based services in the enterprise.
Software Architecture
The robustness and adaptability of software systems is mostly determined by its architecture. As software systems are ever increasing in size and running on more diverse computing platforms, we face the challenge of keeping our architectures robust, secure and adaptable for new applications.
Software Development Methodologies
In our ever-changing world, software products are required to suit the customer’s needs and have to be delivered just in time. To maximize impact, we need adaptive software development methods that support our teams in quickly delivering the right software product. Research on how to improve those methods and team behavior is a necessity to stay up to date.
Publications
We are proud to present the publications our researchers have been working on lately! Whether it concerns our employees or ambitious students, the people who work at Info Support Research share their insights through publication in scientific journals, online publications and open source contributions.
Stable and predictable Voronoi treemaps for software quality monitoring
Department of Information and Computing Sciences, Utrecht University. 2016.
Rinse van Hees, Jurriaan Hage
Stable Voronoi-based visualizations for software quality monitoring
Dept. of Information and Computing Sciences, Utrecht University. 2016.
Rinse van Hees, Jurriaan Hage
Theses
In addition to our publications, Info Support Research also has a myriad of relevant theses.
Towards an architecture design for a future societal energy supply system
Master of Science Thesis. University of Twente. 2017.
Nico Korthout
Supporting Decision-making in Fraud Sensitive Environments
Department of Information and Computing Sciences. Utrecht University. 2016.
Yorick Bouma
Automated Taxonomy Expansion and Tag Recommendation in a Knowledge Management System
Master of Science Thesis. University Utrecht. 2014.
Maarten van Duren
Agile User Experience
Master of Science of Information Sciences. Radboud University Nijmegen. 2014.
Beau Verdiesen
The webmail experience
Bachelor Thesis in Information Science. Radboud University Nijmegen. 2014.
Beau Verdiesen
Building a Data-Driven Search Engine Spelling Corrector
Master of Science Thesis. University of Twente. 2014.
Bas Niesink & Stefanie Stevens
Specifying and Testing Conversational User Interfaces
Bachelor Thesis Information Science. University Utrecht. 2014.
Jasper Berends
Specifying and Testing Conversational User Interfaces
Bachelor Thesis Information Science. University Utrecht. 2014.
Jasper Berends
Estimate the post-release Defect Density based on the Test Level Quality
Master Thesis Software Engineering. University of Amsterdam. 2011.
Lammert Vinke
Affiliations
