Research projects and cooperations in the field of software quality and software testing

For imbus it goes without saying that our know-how represents the most current standard and we take the role of influencers in the further development of the field, in which we are active . To meet this demand, we participate in international research projects and co-operate with expert schools and universities.

Artificial intelligence for your business

You have developed an AI, or are about to do so? But you are still looking for suitable measures that create quality and trust? What quality assurance measures do you need to implement? How do you test an AI? How is testing an AI different from a "common" testing project? How can AI help us in testing? If you are looking for answers to one or more of these questions, we can help. With our guide, which has already been used in several projects, and our methodological know-how from the DIN working group for AI, we would be happy to advise you!
Learn more here!

HolmeS³

AI-based autonomous systems

With the initiative "Artificial Intelligence - Autonomous Mobility", the Bavarian Ministry of Economic Affairs, Regional Development and Energy (StMWi) promotes innovations in the fields of artificial intelligence (AI) and data science in application areas such as mobility or logistics.

 

Future of Software Testing

imbus Trend Study

Updated edition Future of Testing (2017)
The speed at which technologies develop and change the world is increasing rapidly. Whether bioprinting, cobots or polytronics: what was considered merely a possibility a few years ago has already reached market maturity today. On behalf of imbus, futurologist Dr. Bernd Flessner has updated the starting position in the trend study "The Future of Testing" and further sharpened the scope of possibilities. "The Future of Testing" is available free of charge in the download area.
Learn more here!

Agri-Gaia

Artificial intelligence for more efficiency and sustainability in the agricultural industry.

The Agri-Gaia project aims to tap artificial intelligence for the agricultural industry in order to better plan and control the use of agricultural machinery, for example.

GENESIS

eneration and evaluation of realistic streams of information for training and testing of intelligent security systems.

For the development and application of AI-based security systems, such as systems for detecting attacks against computer systems or computer networks, up-to-date, representative, and highly detailed training data are essential. The goal of GENESIS is to address this shortcoming in the field of cybersecurity by developing methods for generating and evaluating realistic training and test data sets.
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