6 citations · 8 across the 7 of their papers we have counts for
7 papers · 1 filter
Understanding on the Edge: LLM-generated Boundary Test Explanations
Sabinakhon Akbarova, Felix Dobslaw, Robert Feldt
Boundary value analysis and testing (BVT) is fundamental in software quality assurance because faults tend to cluster at input extremes, yet testers often struggle to understand an…
Large Language Models in Thematic Analysis: Prompt Engineering, Evaluation, and Guidelines for Qualitative Software Engineering Research
Cristina Martinez Montes, Robert Feldt, Cristina Miguel Martos +3
As artificial intelligence advances, large language models (LLMs) are entering qualitative research workflows, yet no reproducible methods exist for integrating them into establish…
SETBVE: Quality-Diversity Driven Exploration of Software Boundary Behaviors
Sabinakhon Akbarova, Felix Dobslaw, Francisco Gomes de Oliveira Neto +1
Software systems exhibit distinct behaviors based on input characteristics, and failures often occur at the boundaries between input domains. Traditional Boundary Value Analysis (B…
Cross-Functional AI Task Forces (X-FAITs) for AI Transformation of Software Organizations
Lucas Gren, Robert Feldt
This experience report introduces the Cross-Functional AI Task Force (X-FAIT) framework to bridge the gap between strategic AI ambitions and operational execution within software-i…
Capturing Semantic Flow of ML-based Systems
Shin Yoo, Robert Feldt, Somin Kim +1
ML-based systems are software systems that incorporates machine learning components such as Deep Neural Networks (DNNs) or Large Language Models (LLMs). While such systems enable a…
Challenges in Testing Large Language Model Based Software: A Faceted Taxonomy
Felix Dobslaw, Robert Feldt, Juyeon Yoon +1
Large Language Models (LLMs) and Multi-Agent LLMs (MALLMs) introduce non-determinism unlike traditional or machine learning software, requiring new approaches to verifying correctn…