 Central aim of organisation application-oriented software research services for industrial applications
Briefly describe your organisation As the only independent research center in Austria combining research in data science and software science Software Competence Center Hagenberg (SCCH) plays an important role for research and development for industrial applications.
Within the orientation on AI-driven software systems and engineering there are 4 interdisciplinary research foci:
1) Data Analysis Systems (DAS)
DAS develops methods for automatic data analysis (sensor data, etc.) for the purpose of knowledge acquisition, model refinement, and optimization. The spectrum of applications includes process analysis, process optimization, condition monitoring, predictive maintenance, fault detection and diagnosis, virtual sensors, disruption prognosis and optimized control systems in the process industry and in production, production and maintenance of machines, and energy management.
2) Knowldege-Based Vision Systems (KVS)
KVS develops analysis methods for image data on the basis of Computational Intelligence. KVS researches logic-based and knowledge-based modeling of quality criteria and cognitive aspects in aesthetic evaluation. Rigid and deformable geometric structures are analyzed via registration. KVS’s research results are applied to motion analysis and tracking of objects and persons as well as to quality inspection for textured or shiny surfaces and 3D structures. Application areas are in industry as well as in security and biomedical applications.
3) Software Analytics and Evolution (SAE)
SAE employs modern analytical and design approaches in Software Engineering with the goal of facilitating the creation and continuing development of complex technical software systems over long time frames while simultaneously ensuring utmost quality. This involves analytical and model-based approaches for automatic generation of software from domain models as well as potential end-user programming via domain-specific programming languages. The various research aspects in the research focus SAE pursue the long-range vision of tool-supported analysis of program code and storage of the results in abstract, long-lasting domain models. These models then serve the enterprise in the efficient generation of test cases and technical documentation as well as in automatic porting to other software technologies and programming languages.
4) Secure Software Analytics (SSA)
SSA addresses methods for secure software analytics with a focus on secure code, the correct transition of secure software architectures to code, and monitoring security properties of software in the field. Typical applications are software systems of industrial applications, in particular systems of systems and cyber-physical systems.
In addition Rigorous Methods in Software Engineering (RSE) researches the use of rigorous methods for improved software quality. This focus is currently mainly focusing on basic research.
Core Competency Research & Development
ICT sectors: - ICT Applications
- Ambient Assisted Living (Services for the Elderly)
- ICT Applications for Tourism
- ICT Applications for Health
- ICT Applications for Traffic and Logistics
- IT Security and Encryption
- Standardisation
- ICT Application for Environment Management
- Industrial Application
- Multimedia, Pattern Recognition
- Video Processing
- Pattern Processing
- Software- and Data Processing
- Databases, Database Management
- Knowledge Management
| - Process Management
- Information and Multimedia Retrieval
- Service Orientated Architecture (SOA)
- Software Engineering and Testing
- Semantic Systems
- Advanced Systems Architecture
- Cognitive Systems, Interaction and Robotics
- Automation
- Man-Machine Interaction
- Artificial Intelligence
- Sensor Technology
- Data Mining
- Embedded Systems and Real-time Systems
- Reliability
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ICT keywords big data, comet, control and optimization, domain-specific languages, formal methods, knowledge extraction, software testing, software quality assurance, AI, artifical intelligence, high performance computing, software testing, model-based testing, risk-based testmanagement, software architecture analysis, domain-specific languages, knowledge-extraction from source code, redocumentation, software analysis, software analytics and evolution, secure software, secure software analytics, software maintenance, software refactoring, software generation, model-based development, analysis of structured text (Fortran, PL/SQL), analysis of legacy software systems, automation of source code documentation, quality inspection, biomedical image analysis, metal surfaces, high performance computing, embeddes systems, image understanding, visual bag of words, cell-tracking, high dynamic range imaging, event-driven vision, discrepancy norm, 3D Visual Discomfort Database, prognosis, control and optimization, data analytics, data centric technologies, knowledge representation and semantics, big data, knowledge representation, data management, model-based software development, generating code artifacts from models, business process modeling, formal methods (Abstract State Machines, Event-B), specification, software certification, software quality assurance, requirements engineering, IT security |
