Quality Engineering (QE) is a research group at the Department of Computer Science at Universität Innsbruck. QE strives for end-to-end quality management of IT systems in the context of today’s rapid digital transformation.
We research methods and develop tools to intercept the inherent tradeoff between quality and security, time, and resources in industrial-scale environments. Our philosophy epitomizes continuous, collaborative, constructive, and analytical quality assurance in IT management, software engineering, and systems operation. Our goal is to develop foundational, yet practicable solutions that are evaluated in industrial contexts.
Our research areas include
- Model-driven Digital Twin Engineering
- Security Engineering
- Cloud Engineering
Model-driven Digital Twin Engineering
Digital twins have turned process-based lifecycle management of cyber-physical systems into platform-based informed decision-making. Our research aims at establishing model-driven engineering methods for gestating and evolving stakeholder-aligned digital twins for holistic monitoring, control, and optimization by capitalizing on pervasive computing.
Our research topics include
- Requirements engineering and conceptualization of digital twins
- Model Repositories for digital twins
- Cyber-physical systems
- Data analytics, machine learning, and artificial intelligence for digital twins
- Domain-specific digital twin engineering for digital construction and the digital shopfloor
- Model-based engineering
- Domain-specific Languages
- Cyber-physical Systems
- Machine Learning and AI
- Digital Twins
The increasingly persistent and sophisticated threat actors along with the sheer speed at which cyber-attacks unfold, make timely decision-making imperative for the security of an organization’s system. Our research aims to develop methods and solutions for automatically triggering security processes that establish appropriate security controls in a timely manner to ensure the functionality of systems and prevent misuse and malicious behavior.
Our research topics include:
- Methods for effective security and compliance management
- Collection, Processing, Analysis and Dissemination of open source and threat intelligence
- Implementation of proactive and reactive security controls
- Design and operations of secure systems
- Information Security Management
- Governance, Risk and Compliance
- Cyber Threat Intelligence
- Security Controls
- Secure Development Lifecycle
- Secure System Operations
Enterprises are digitizing their complex business processes atop of cloud services of various cloud providers. Our research aims at automated end-to-end support for digital transformation of applications and services in federated clouds, including interoperability, portability, and quality assurance.
Our research topics include:
- Interoperability and portability of cloud applications in federated clouds
- Quality of cloud services (high availability, resilience, disaster recovery, scalability, performance, cost)
- End-to-end automation of cloud applications’ and services’, life-cycle: development, scheduling, deployment, provisioning, and management
- Federated clouds
- Quality assurance
- BIM / TIM