Data-Driven Software Engineering (DDSE)
Research at the intersection of Software and Requirements Engineering, Legal Compliance, and Privacy, focusing on elicitation, formalization, verification, and validation of requirements within software systems. ​
​
Research Projects:
-
Developing AI-assisted tools to enhance stakeholder–developer communication and change management practices in open-source software.​
-
Developing privacy-by-design frameworks for GenAI and IoT systems using user-centered requirements and privacy risk modeling.​
-
Developing traceability and compliance assurance techniques that establish and maintain explicit trace links between different software artifacts, including regulatory documents.
​
Latest News
Our Research Focus
Key Themes
We direct cutting-edge research at the intersection of software engineering, legal compliance, and privacy. Our aim is to enhance stakeholder collaboration and streamline requirements processes.
Software
Innovative Practices
Research includes the formalization and verification of requirements to ensure software systems meet essential compliance and privacy standards effectively.
AI-Tools
Enhancing Engagement
We are developing AI-assisted tools designed to improve communication between stakeholders and developers, fostering better change management in open-source projects.
Privacy
Frameworks Development
Our efforts extend to crafting privacy-by-design frameworks for GenAI and IoT systems, emphasizing user-centered approaches to risk modeling.
Compliance
Assurance Techniques
We focus on compliance assurance methods that provide traceability and maintain explicit links between software artifacts and regulatory documents.