13 citations · 18 across the 8 of their papers we have counts for
10 papers
Towards Systematic Qualification of Vision-Language Models for Automotive Perception Systems
Malsha Ashani Mahawatta Dona, Konstantinos Rokanas, Alexander Säfström +2
The field of Artificial Intelligence has been adopted for many application domains. Vision Language Models are one of the recently advanced AI techniques that have been explored to…
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…
Prompt Smells: An Omen for Undesirable Generative AI Outputs
Krishna Ronanki, Beatriz Cabrero-Daniel, Christian Berger
Recent Generative Artificial Intelligence (GenAI) trends focus on various applications, including creating stories, illustrations, poems, articles, computer code, music composition…
Requirements Engineering using Generative AI: Prompts and Prompting Patterns
Krishna Ronanki, Beatriz Cabrero-Daniel, Jennifer Horkoff +1
[Context]: Companies are increasingly recognizing the importance of automating Requirements Engineering (RE) tasks due to their resource-intensive nature. The advent of GenAI has m…
Investigating ChatGPT's Potential to Assist in Requirements Elicitation Processes
Krishna Ronanki, Christian Berger, Jennifer Horkoff
Natural Language Processing (NLP) for Requirements Engineering (RE) (NLP4RE) seeks to apply NLP tools, techniques, and resources to the RE process to increase the quality of the re…
ChatGPT as a tool for User Story Quality Evaluation: Trustworthy Out of the Box?
Krishna Ronanki, Beatriz Cabrero-Daniel, Christian Berger
In Agile software development, user stories play a vital role in capturing and conveying end-user needs, prioritizing features, and facilitating communication and collaboration wit…
RE-centric Recommendations for the Development of Trustworthy(er) Autonomous Systems
Krishna Ronanki, Beatriz Cabrero-Daniel, Jennifer Horkoff +1
Complying with the EU AI Act (AIA) guidelines while developing and implementing AI systems will soon be mandatory within the EU. However, practitioners lack actionable instructions…