41 citations · 93 across the 9 of their papers we have counts for
9 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…
AI and Agile Software Development: A Research Roadmap from the XP2025 Workshop
Zheying Zhang, Tomas Herda, Victoria Pichler +20
This paper synthesizes the key findings from a full-day XP2025 workshop on "AI and Agile: From Frustration to Success", held in Brugg-Windisch, Switzerland. The workshop brought to…
AI and Agile Software Development: From Frustration to Success -- XP2025 Workshop Summary
Tomas Herda, Victoria Pichler, Zheying Zhang +2
The full-day workshop on AI and Agile at XP 2025 convened a diverse group of researchers and industry practitioners to address the practical challenges and opportunities of integra…
TimeLess: A Vision for the Next Generation of Software Development
Zeeshan Rasheed, Malik Abdul Sami, Jussi Rasku +16
Present-day software development faces three major challenges: complexity, time consumption, and high costs. Developing large software systems often requires battalions of teams an…
Exploring Human-AI Collaboration in Agile: Customised LLM Meeting Assistants
Beatriz Cabrero-Daniel, Tomas Herda, Victoria Pichler +1
This action research study focuses on the integration of "AI assistants" in two Agile software development meetings: the Daily Scrum and a feature refinement, a planning meeting th…
Generating Test Scenarios from NL Requirements using Retrieval-Augmented LLMs: An Industrial Study
Chetan Arora, Tomas Herda, Verena Homm
Test scenarios are specific instances of test cases that describe actions to validate a particular software functionality. By outlining the conditions under which the software oper…
Prioritizing Software Requirements Using Large Language Models
Malik Abdul Sami, Zeeshan Rasheed, Muhammad Waseem +3
Large Language Models (LLMs) are revolutionizing Software Engineering (SE) by introducing innovative methods for tasks such as collecting requirements, designing software, generati…
LLM-based agents for automating the enhancement of user story quality: An early report
Zheying Zhang, Maruf Rayhan, Tomas Herda +2
In agile software development, maintaining high-quality user stories is crucial, but also challenging. This study explores the use of large language models to automatically improve…
Generative Artificial Intelligence for Software Engineering -- A Research Agenda
Anh Nguyen-Duc, Beatriz Cabrero-Daniel, Adam Przybylek +12
Generative Artificial Intelligence (GenAI) tools have become increasingly prevalent in software development, offering assistance to various managerial and technical project activit…