Papers in the main technical program must describe high-quality, original research. Topics of interest include all aspects of artificial intelligence and software engineering including, but not limited to

1. AI-Driven Software Development Processes
•    AI for Requirements Engineering
•    AI-Assisted Design and Architecture
•    AI for Code Generation and Refactoring
•    AI in Continuous Integration/Continuous Deployment (CI/CD)

2. Machine Learning for Software Testing and Bug Detection
•    Automated Test Case Generation
•    Bug Detection and Prediction
•    AI-Powered Regression Testing
•    Test Coverage and Optimization

3. AI in Software Project Management and Estimation
•    AI for Project Estimation and Resource Allocation
•    Risk Management in Software Projects
•    AI for Task Prioritization in Agile Development
•    Predictive Analytics for Project Success

4. AI-Powered Code Generation and Optimization
•    AI-Assisted Code Writing
•    Code Optimization with Machine Learning
•    Context-Aware Code Suggestions
•    Automated Refactoring Using AI

5. Explainable AI in Software Engineering
•    Transparency in AI-Based Development Tools
•    Bias Detection and Mitigation in AI Models
•    Human-AI Collaboration in Software Engineering
•    Auditability and Accountability of AI Models in Software Engineering

6. AI for Software Quality Assurance
•    Automated Code Reviews and Static Analysis
•    AI for Performance Testing and Monitoring
•    Fault Prediction Models in QA
•    AI-Assisted Test Automation

7. AI in Software Architecture Design
•    AI for Architectural Pattern Recognition
•    Design Trade-offs and Decision Making with AI
•    AI for Optimizing Scalable Systems
•    Automating Architectural Validation

8. Deep Learning Techniques for Software Engineering
•    Deep Learning for Code Analysis and Understanding
•    Code Synthesis with Deep Learning
•    Deep Learning for Automated Software Testing
•    Natural Language Processing in Software Engineering

9. AI for Software Security
•    AI for Vulnerability Detection and Patch Generation
•    Machine Learning for Intrusion Detection Systems
•    AI for Secure Software Design
•    AI in Threat Modeling and Risk Analysis

10. Reinforcement Learning in Software Development
•    Reinforcement Learning for Software Optimization
•    Adaptive Systems Using Reinforcement Learning
•    Reinforcement Learning for Autonomous Software Testing
•    AI-Powered Decision Support in Software Development

11. AI for Software Engineering in Healthcare
•    AI for Clinical Software Development
•    Predictive Analytics for Medical Software
•    Data Integration and AI in Health Informatics
•    AI-Assisted Software Tools for Healthcare Providers

12. AI for Software Development in Autonomous Systems and Robotics
•    AI for Autonomous Software Systems
•    Machine Learning for Robot Behavior Modeling
•    AI in Robotic Software Testing and Simulation
•    AI for Real-Time Control and Decision Making

13. AI-Driven Software Personalization and Adaptation
•    Personalized Software User Interfaces with AI
•    Adaptive Software Systems with Machine Learning
•    Context-Aware Personalization in Software Design
•    AI in Dynamic Software Configuration

14. AI for Real-Time Software Systems
•    Real-Time Performance Optimization with AI
•    AI-Based Resource Scheduling and Allocation in Real-Time Systems
•    Autonomous Decision Making in Real-Time Systems
•    AI for Fault Tolerance and Recovery in Real-Time Systems

15. AI in Cloud-Native Software Engineering
•    AI for Cloud Resource Management and Optimization
•    Automating Cloud-Native Application Deployment with AI
•    AI in Cloud Security
•    AI for Cloud Performance Monitoring and Tuning

16. AI-Enhanced Software Testing and Verification
•    Automated Test Case Generation using AI
•    AI for Test Suite Optimization and Minimization
•    AI-Powered Formal Verification of Software Systems
•    Intelligent Test Coverage Analysis