4 papers
Recommendations for Efficient and Responsible LLM Adoption within Industrial Software Development
Krishna Ronanki, Beatriz Cabrero-Daniel, Tomas Herda +3
Context: Large language models (LLMs) are observed to have a significant positive impact on various software engineering (SE) activities. With improved accessibility, the adoption…
Prompt Engineering Guidelines for Using Large Language Models in Requirements Engineering
Krishna Ronanki, Simon Arvidsson, Johan Axell
The rapid emergence of generative AI models like Large Language Models (LLMs) has demonstrated its utility across various activities, including within Requirements Engineering (RE)…
Large Language Models in Code Co-generation for Safe Autonomous Vehicles
Ali Nouri, Beatriz Cabrero-Daniel, Zhennan Fei +3
Software engineers in various industrial domains are already using Large Language Models (LLMs) to accelerate the process of implementing parts of software systems. When considerin…
Facilitating Trustworthy Human-Agent Collaboration in LLM-based Multi-Agent System oriented Software Engineering
Krishna Ronanki
Multi-agent autonomous systems (MAS) are better at addressing challenges that spans across multiple domains than singular autonomous agents. This holds true within the field of sof…