450 citations · 1.8k across the 77 of their papers we have counts for
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Human-Centered AI Transformation: Exploring Behavioral Dynamics in Software Engineering
Theocharis Tavantzis, Robert Feldt
As Artificial Intelligence (AI) becomes integral to software development, understanding the social and cooperative dynamics that affect AI-driven organizational change is important…
Adaptive Random Testing with Q-grams: The Illusion Comes True
Matteo Biagiola, Robert Feldt, Paolo Tonella
Adaptive Random Testing (ART) has faced criticism, particularly for its computational inefficiency, as highlighted by Arcuri and Briand. Their analysis clarified how ART requires a…
GoNoGo: An Efficient LLM-based Multi-Agent System for Streamlining Automotive Software Release Decision-Making
Arsham Gholamzadeh Khoee, Yinan Yu, Robert Feldt +3
Traditional methods for making software deployment decisions in the automotive industry typically rely on manual analysis of tabular software test data. These methods often lead to…
Towards Explainable Test Case Prioritisation with Learning-to-Rank Models
Aurora Ramírez, Mario Berrios, José Raúl Romero +1
Test case prioritisation (TCP) is a critical task in regression testing to ensure quality as software evolves. Machine learning has become a common way to achieve it. In particular…
Semantic API Alignment: Linking High-level User Goals to APIs
Robert Feldt, Riccardo Coppola
Large Language Models (LLMs) are becoming key in automating and assisting various software development tasks, including text-based tasks in requirements engineering but also in cod…
Domain Generalization through Meta-Learning: A Survey
Arsham Gholamzadeh Khoee, Yinan Yu, Robert Feldt
Deep neural networks (DNNs) have revolutionized artificial intelligence but often lack performance when faced with out-of-distribution (OOD) data, a common scenario due to the inev…