Researchers Speed Up Fault Localization During Software Development

Finding and fixing errors in programme code still takes up a lot of developers’ time. A team at TU Graz has now developed a solution that tackles the biggest time wasters.
Finding and fixing errors in programme code still takes up a lot of developers’ time. A team at TU Graz has now developed a solution that tackles the biggest time wasters.
One of the first major studies on abrasion emissions from rail vehicles shows that a lot of particulate matter contaminated with heavy metals is produced especially along railway lines.
One topic, but a multiplicity of angles and perspectives.
Climate change is omnipresent.
And it is also having an impact on our cities.
Scientists at TU Graz are researching how urban
living spaces can respond to these changes.
Researchers from Graz University of Technology and "sicher unterwegs" are providing precise data on the movement patterns of children travelling on foot in road traffic. The findings aim to improve…
As Professor for "High-performance Large Engine Systems", Nicole Wermuth is researching sustainable fuels, emission reduction and higher efficiencies for the green transformation of large engines.
Online activities can be monitored in detail simply by analysing latency fluctuations in the internet connection, researchers at Graz University of Technology have discovered. The attack works without…
A research team from TU Graz and the Czech Academy of Sciences has used two enzymes to eliminate the need for highly toxic cyanide in the production of nitriles.
The chemist works on the next generation of organic solar cells at the Institute of Chemical Technology of Materials at Graz University of Technology. The alpha+ Foundation of the Austrian Science…
Physicists at TU Graz have calculated how suitable molecules can be stimulated by infrared light pulses to form tiny magnetic fields. If this is also successful in experiments, the principle could be…
Due to the complex structures of microporous crystals known as MOFs, reliable simulations of their properties have been difficult until now. Machine learning provides the solution.
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