SEFM 2023
21st International Conference on Software Engineering and Formal Methods
Organised by Eindhoven University of Technology, The Netherlands
The 21st edition of the International Conference on Software Engineering and Formal Methods will be held between 6 and 10 November 2023.
The conference aims to bring together researchers and practitioners from academia, industry and government, to advance the state of the art in formal methods, to facilitate their uptake in the software industry, and to encourage their integration within practical software engineering methods and tools.
The topics of interest include, but are not limited to, the following aspects of software engineering and formal methods.
- Software Development Methods
- Formal modeling, specification, and design
- Automated software engineering
- Software evolution, maintenance, re-engineering, and reuse
- Design Principles
- Programming languages
- Domain-specific languages
- Type theory
- Abstraction and refinement
- Software Testing, Validation, and Verification
- Model checking, theorem proving, and decision procedures
- Testing and runtime verification
- Statistical and probabilistic analysis
- Software synthesis and repair
- Lightweight and scalable formal methods
- Analysis of dependability, performance and other non-functional properties
- Resilience, security, privacy, and trust
- Safety-critical, fault-tolerant, and secure systems
- Software assurance and certification
- Service-oriented and cloud computing systems, Internet of Things
- Component-based and multi-agent systems
- Real-time, hybrid, and cyber-physical systems
- Intelligent systems and machine learning
- HCI, interactive systems, and human error analysis
- Applications and Technology Transfer
- Case studies
- Best practices
- Experience reports
- Educational topics
- Special topic at SEFM 2022: “Software Engineering and Formal Methods for Intelligent and Learning Systems”
- Formal specification of tasks for ML
- Data management and data preparation
- Autonomous and self-adaptive systems
- Test generation for ML components
- Verification of safety and security for artificial intelligence
- Integration of conventional software and machine learning
- AI for the improvement of formal methods
- Use of AI in software engineering