Speeding Up the Engineering of Interactive Systems with Generative AI

Abstract

This keynote discusses the opportunities and challenges of using Generative Artificial Intelligence (GenAI) and Large Language Models (LLMs) as tools for developing interactive systems. We will look at different stages in the development lifecycle of interactive systems and assess the value of AI support. We explore how GenAI and LLMs can potentially speed-up the ideation, requirements elicitation, architecture development, prototyping, implementation, and testing of interactive systems. The talk will outline emerging practices, such as the use of prompts for code and system generation, to facilitate prototyping and accelerate implementation. We will outline fundamental challenges and suggest emerging research directions, and pose research questions. What will software development tools look like in the future? How can we efficiently use AI to develop interactive systems without compromising quality? We also speculate about the implications of these developments for researchers, practitioners, and society. We believe that it will massively accelerate the digital transformation. Interactive AI-based tools for systems and software development will become a major research direction.