Call for papers, Reliable and Secure AI-based Code Generators

Artificial Intelligence (AI) has revolutionized various aspects of software development, including the generation of programming source code. AI-based code generators have shown tremendous potential in automating software development tasks and improving developer productivity. However, ensuring the reliability and security of AI-generated code remains a critical challenge. This special issue aims to bring together the latest research and advancements in the field of AI-based code generation, with a specific focus on reliability and security concerns. It seeks to explore innovative techniques, methodologies, and case studies addressing the challenges of ensuring trustworthy and secure AI-generated code.

Topics for this special edition will include (but not limited to):

• Robustness and correctness assessment of AI-based code generators

• Verification and validation techniques for AI-generated code

• Testing and debugging approaches for AI-generated code

• Security vulnerabilities in AI-generated code

• Adversarial attacks and defenses in AI-generated code

• Ethical Considerations and Responsible AI Practices in code generation

• Explainability and interpretability of AI-based code generators

• Case studies and real-world applications of AI-based code generators

• Comparative analysis of different AI-based code generation approaches

• Integration of AI-generated code with existing code bases

• Data Quality and Bias

• Evaluation Approaches and Benchmarks for AI-generated Code

• Security Threats and Countermeasures

• Secure Model Training

• Authentication and Access Control

• Compliance and Regulatory Requirements

• Open issues, practical experiences, and real-world case studies

• Secure Code Generation and Program Synthesis

• AI-Code Assistants

• Secure Program Repair

• Learning from Human Feedback