Application-oriented research company in the field of software

Partner for industry and science

As one of the largest independent research centers in Austria in the field of software, Software Competence Center Hagenberg (SCCH) plays a harbinger role for software-related technological research and development trends.

Software Competence Center Hagenberg was founded by five departments of Johannes Kepler University Linz (Prof. Buchberger (RISC), Prof. Pomberger (Institute for Business Informatics), Prof. Klement (Institute for Knowledge-Based Mathematical Systems; Fuzzy Logic Laboratory Linz-Hagenberg), Prof. Wagner (FAW Institute for Application-Oriented Knowledge Processing) and Prof. Engl (Institute for Industrial Mathematics)) in July 1999 in the realm of the K plus competence program

IEEE Intelligent Systems

Retrospect

In early September, the IEEE organized for the 8th time a conference on "Intelligent Systems". This year the conference took place in Bulgaria and focused on the topics decision support systems, neural networks, soft computing, data mining, ontologies,  machine learning and artificial intelligence.

New researcher

For DAS team

Since September 1st, Dr. Florian Sobieczky reinforced the Data Analysis Systems team. He studied mathematics and physics. He focuses his research on the topic Predictive Modeling.

 

FFG Talents

Trying their hands at research

Two high school students conducted research at Software Competence Center Hagenberg in the realm of the program “Talents: Internships for Students” funded by the Austrian Research Promotion Agency (FFG) and the Austrian Federal Ministry for Transportation, Innovation and Technology.

New magazine online

Discover IT

Browse in the new SCCH magazine. In addition to facts and figures you will find also some exciting reports in this issue.

Job offer

Researcher (f/m) in Computer Vision

We are looking for a (Junior) Research Scientist / Engineer (f/m) to join our computer vision team at Software Competence Center Hagenberg (with expertise preferable in machine learning, deep learning, mathematical modelling or embedded vision).

Technology outlook and megatrends

Digital society in the future

At the 30th of September, the 10th Technology Outlook will take place at ETH Zurich. The main topic will be the digitization. The SCCH is represented at that event by Dr. Klaus-Dieter Schewe, who will speak about industry 4.0 - between reality and vision.

For Safety-Critical Systems

Formal Methods

In medicine, transportation (fully automated trains, aerospace) and in energy production (atomic power plants), software errors can have severe consequences.  The use of formal methods can help to prevent such bugs in advance. In our interview, Dr. Christine Natschläger explains why formal methods will rise in importance in the future and why they continue to play a marginal role.

Finding the "Early Warning Point"

SCCH presented Predictive Analytics

The Automotive Cluster Upper Austria organized the Innovation Workshop at MAGNA in Graz. The experts from the research focus Data Analysis Systems (DAS) showed how  predictive maintenance works and how the "Early Warning Point" can be found.

Automatic solution available

Extract knowledge from software

The experts at SCCH have developed a tool called eKNOWS that enables automatic extraction and analysis of expertise directly from source code.

Rigorous Methods’ Experts met in Linz

ABZ 2016

The 5th international conference on ABZ (ASM, Alloy, B, TLA, VDM, and Z) methods took place in Linz from May 23 to 27, 2016. The main focus of the conference was the cross-fertilization of six related state-based and machine-based rigorous methods: Abstract State Machines, Alloy, B, Temporal Logics of Actions, Vienna Development Method and Z. These methods share a common conceptual foundation and are widely used in both academia and industry for the design and analysis of hardware and software systems. About 65 researchers from all over the world attended this conference.

Learn more about Big Data

Success Factor Data Analysis

In modern enterprises a mass of data is available in many formats and qualities. An automated analysis of this data promises an increase of knowledge and thus the opportunity to optimize different systems.

At the OAGM conference

Best Paper Award

Bernhard Moser and Christian Motz won the Best Paper Award of the OAGM/AARP 2016 (Austrian Association for Pattern Recognition).