RELSE2026

⭐ RELIABLE-SE 2027: Engineering Reliable and Trustworthy LLM-Based Software Development

Can we trust AI to build software? As Large Language Models (LLMs) and coding agents transform software development, the next challenge is not simply what AI can generate, but whether we can rely on what it produces.

RELIABLE-SE 2027 brings together researchers and practitioners to explore how reliability, trustworthiness, security, verification, reproducibility, and human oversight can be engineered into LLM-based software development. The workshop will examine real-world challenges such as hallucinated code, misunderstood requirements, unreliable coding agents, security vulnerabilities, error propagation, and the difficulty of evaluating AI-generated software.

Through expert keynotes, peer-reviewed research, a hands-on Reliability Challenge, an interactive panel, and a research roundtable, RELIABLE-SE 2027 aims to move beyond asking “Can AI code?” toward the more important question: “How can we build software with AI that we can actually trust?”

📢 Call for Papers

We invite original research contributions addressing the reliability, verification, security, evaluation, and trustworthy engineering of LLM-based software development.

📄 Submission Categories

• Workshop Papers: Maximum 4 pages.
• Poster Papers: Maximum 2 pages.

Authors should prepare their submissions according to the applicable ISEC 2027 formatting guidelines.

🔍 Peer-Review Process

All submitted papers will undergo a peer-review process in which reviewers evaluate the quality, originality, relevance, technical soundness, and contribution of each submission. Acceptance decisions will be based on the reviewers’ assessments and the workshop’s scope and objectives.

📅 Important Date

Paper Submission Deadline: November 8, 2026

👥 Organizing Team

Dr. Swati Goel — Independent Researcher, PhD (CSE), JNU

Prof. Manuel Mazzara — Innopolis University

Harish Gaggar — Intuit

🤝 Join Us at ISEC 2027

Join us at ISEC 2027 to help shape the emerging research agenda for reliable, verifiable, secure, and trustworthy AI-assisted software engineering.

We look forward to receiving your contributions!

RELIABLE-SE 2027 Organizing Team