Advancements in AI-Driven Software Development and Regulatory Technology

The field of software development is undergoing a significant transformation with the increasing adoption of Generative AI (GenAI) and Large Language Models (LLMs). Researchers are exploring new frameworks and methodologies to leverage these technologies and improve software development efficiency. A key direction is the development of AI-driven self-evolving software, which has the potential to automate software development and reduce human intervention. Another area of focus is the design of human-centered and compliance-driven NLP systems for regulatory technology (RegTech), which can support expert compliance workflows and mitigate compliance risks. Noteworthy papers in this area include:

  • AI-Driven Self-Evolving Software, which demonstrates the feasibility of autonomous software development through a lightweight prototype.
  • Towards Human-Centered RegTech, which highlights the need for compliance guidance and training for LLMs in high-risk professional domains.

Sources

Towards Shift-Up: A Framework and a Prestudy on High-Value Activities in GenAI Native Software Development

Interface Design to Support Legal Reading and Writing: Insights from Interviews with Legal Experts

Vibe Coding in Practice: Motivations, Challenges, and a Future Outlook -- a Grey Literature Review

AI-Driven Self-Evolving Software: A Promising Path Toward Software Automation

AI Where It Matters: Where, Why, and How Developers Want AI Support in Daily Work

"We are not Future-ready": Understanding AI Privacy Risks and Existing Mitigation Strategies from the Perspective of AI Developers in Europe

Towards Human-Centered RegTech: Unpacking Professionals' Strategies and Needs for Using LLMs Safely

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