Call for Papers
Topics and scopes are not limited, but as below：
1. AI-Driven Software Engineering & AI
Systems Engineering
This track focuses on the integration of
generative AI, large language models (LLMs),
and AI agents into the full lifecycle of
software engineering. It also covers the
systematic engineering methodologies for
building reliable, explainable, and secure
AI software systems.
• LLM-based code generation, code
comprehension, code refactoring and
automated program repair
• Autonomous AI agents and multi-agent
collaboration for end-to-end software
development
• AI-enabled intelligent DevSecOps,
automated CI/CD, testing and operational
monitoring
• System engineering for AI models,
including model compression, distillation,
deployment and optimization
• Testing, verification, explainability and
reliability assurance of AI software systems
• Trustworthy AI software engineering,
including hallucination mitigation, privacy
protection and AI governance
2. Cloud-Edge-End Intelligent System
Architecture & Development
This track welcomes research on the design,
evolution, optimization and quality
assurance of complex distributed software
systems. It covers cloud-native
architecture, edge computing, embedded
systems and large-scale service-oriented
infrastructure.
• Cloud-native architecture, microservices,
service mesh, serverless computing and
elastic scaling
• Observability, chaos engineering and
resilience optimization for distributed
cloud systems
• Edge AI inference, cloud-edge-end
collaboration, IoT software and industrial
embedded systems
• Software-defined infrastructure, system
virtualization, containerization and
programmable networks
• Legacy system modernization, architecture
migration and technical debt management
• API engineering, event-driven architecture
and reliable distributed service computing
3. Software/System Quality, Security &
Trustworthiness
This track targets fundamental and applied
research on software quality assurance,
system security, privacy preservation and
trustworthy computing. It accepts innovative
works on testing, formal verification,
cybersecurity and sustainable system
reliability.
• AI-enhanced software testing, fuzzing,
static/dynamic analysis and regression
testing optimization
• Formal methods, model checking, theorem
proving and runtime verification for complex
systems
• Software vulnerability detection, code
auditing, SCA and software supply chain
security
• SBOM-based system security management and
supply chain attack defense
• Privacy-preserving technologies including
federated learning, differential privacy and
homomorphic encryption
• System fault tolerance, high availability
design and green & sustainable software
engineering
4. Software & Systems Engineering for
Emerging Domains
This track explores interdisciplinary
software and system engineering technologies
for cutting-edge industry scenarios. It
focuses on customized system design,
verification and optimization for
intelligent vertical application domains.
• Software architecture, testing and
functional safety for autonomous driving and
V2X systems
• Intelligent medical software, clinical
decision systems and privacy-preserving
healthcare platforms
• FinTech software engineering, blockchain
smart contract systems and financial risk
control AI
• Cyber-Physical Systems (CPS), digital twin
and intelligent manufacturing software
systems
• Industrial robot software, MES system
optimization and Industry 4.0 system
engineering
• Metaverse, VR/AR immersive systems,
multimodal interaction and digital human
software engineering