Foundations and Advances in Software Engineering
• Software Engineering Theory and Foundations
• Formal Methods, Verification and Model Checking
• Static, Dynamic and Hybrid Program Analysis
• Requirements Engineering and Modeling
• Software Architecture, Design and Patterns
• Software Evolution, Maintenance and Refactoring
• Empirical Software Engineering & Evidence Based SE
• Mining Software Repositories (MSR)
• Socio Technical Systems and Organizational SE Research
• Cognitive Aspects of Software Engineering
AI Driven, LLM Driven and Agentic Software Engineering
• LLM Driven Software Engineering (generation, repair, refactoring, planning)
• AI Agents for Autonomous Software Development
• Multi Agent Systems for End to End Software Engineering
• Prompt Engineering and Prompt Optimization for SE Tasks
• Evaluation and Benchmarking of AI Assisted Development Tools
• Human AI Collaboration and Developer Experience (DX)
• Safety Aligned and Policy Aligned AI Systems
• Guardrails, Safety Layers and Alignment Engineering for LLM Based Systems
• Engineering AI Generated Codebases (maintainability, hallucination detection, architecture quality)
Software Engineering for AI/ML and Multi Modal Systems
• Engineering Large Scale AI/ML Pipelines
• MLOps, AIOps, DataOps and Model Lifecycle Management
• Testing and Verification of AI/ML Systems
• Software Engineering for Multi Modal AI (VLMs, audio text, code vision models)
• Federated Learning Systems Engineering
• Edge AI, TinyML and On Device Intelligence
• Distributed AI Training Infrastructure (scheduling, fault tolerance, resource optimization)
• AI Model Deployment, Monitoring and Drift Management
• Synthetic Data Generation, Validation and Bias Detection
Software Testing, Quality and Automation
• Automated Software Testing and Test Generation
• NLP Based Test Automation
• Autonomous and Self Adaptive Testing
• Testing of Large Scale, Distributed, or Safety Critical Systems
• Testing Multi Modal and Agentic AI Systems
• Usability and UX Testing Automation
• Reliability, Dependability and Quality Engineering
• Continuous Integration/Continuous Deployment (CI/CD) Testing
• Chaos Engineering and Resilience Testing
• Testability of AI Generated Code
Security, Privacy and Autonomous Cybersecurity
• Software Security Engineering
• Secure Software Development Lifecycle (SSDLC)
• Software Supply Chain Security & SBOM Engineering
• Vulnerability Detection, Analysis and Automated Remediation
• Security Automation and DevSecOps
• Autonomous Cybersecurity Systems (AI driven threat hunting, self healing systems)
• Privacy Preserving Software Engineering
• Safety Critical and Mission Critical Software Systems
• AI Security and Adversarial Robustness
Systems, Platforms and Emerging Technologies
• Cloud Native Software Engineering
• Microservices and Service Oriented Architectures
• Infrastructure as Code (IaC) Engineering and Testing
• Distributed Systems and High Performance Computing
• Cyber Physical Systems (CPS) and Industrial Automation
• Robotics Software Engineering
• Autonomous Systems Engineering
• Blockchain Based Software Systems
• Quantum Software Engineering
• Digital Twins and Simulation Driven Engineering
• Software Engineering for Neuromorphic and Bio Inspired Computing
• Software Engineering for DNA Based Storage Systems
Human Centered, Social and Organizational Aspects
• Human Centered AI for Software Engineering
• Developer Experience (DX) and Productivity
• Collaboration, Coordination and Team Dynamics
• Cognitive Load in Software Development
• Open Source Ecosystems, Governance and Community Analytics
• Software Economics, Decision Making and Value Assessment
• Ethics, Fairness and Governance in Software Systems
• AI Compliance Engineering (e.g., EU AI Act)
Web, Mobile and User Facing Systems
• Web Engineering and Web Scale Systems
• Mobile and Wearable Software Engineering
• Intelligent User Interfaces and Interaction Automation
• XR/AR/VR Software Engineering
• AI Enhanced Learning Systems and Learning Analytics
Networking, Automation and Distributed Intelligence
• Network Automation and Software Defined Networking (SDN)
• Automation in Cloud, Edge and Data Center Systems
• Autonomous Service Oriented and Microservices Architectures
• Distributed AI Systems and Multi Agent Coordination
• Software Engineering for Large Scale LLM Deployment and Inference Optimization
Domain Specific and Application Driven Software Engineering
• Software Engineering for Big Data Systems
• Software Engineering for Scientific Computing
• Software Engineering for Healthcare, Finance and Smart Cities
• Software Engineering for Autonomous Vehicles and Drones
• Software Engineering for Sustainability and Green Computing
• Software Engineering for Critical Infrastructure
• Software Engineering for Climate Modeling and Environmental Systems

Hard copy of the proceedings will be distributed during the Conference. The softcopy will be available on AIRCC digital library.