14 citations · 39 across the 10 of their papers we have counts for
8 papers · 1 filter
Investigating the Role of Cultural Values in Adopting Large Language Models for Software Engineering
Stefano Lambiase, Gemma Catolino, Fabio Palomba +2
As a socio-technical activity, software development involves the close interconnection of people and technology. The integration of Large Language Models (LLMs) into this process e…
Motivations, Challenges, Best Practices, and Benefits for Bots and Conversational Agents in Software Engineering: A Multivocal Literature Review
Stefano Lambiase, Gemma Catolino, Fabio Palomba +1
Bots are software systems designed to support users by automating a specific process, task, or activity. When such systems implement a conversational component to interact with the…
A Catalog of Fairness-Aware Practices in Machine Learning Engineering
Gianmario Voria, Giulia Sellitto, Carmine Ferrara +5
Machine learning's widespread adoption in decision-making processes raises concerns about fairness, particularly regarding the treatment of sensitive features and potential discrim…
When Code Smells Meet ML: On the Lifecycle of ML-specific Code Smells in ML-enabled Systems
Gilberto Recupito, Giammaria Giordano, Filomena Ferrucci +2
Context. The adoption of Machine Learning (ML)--enabled systems is steadily increasing. Nevertheless, there is a shortage of ML-specific quality assurance approaches, possibly beca…
Test Code Refactoring Unveiled: Where and How Does It Affect Test Code Quality and Effectiveness?
Luana Martins, Valeria Pontillo, Heitor Costa +3
Context. Refactoring has been widely investigated in the past in relation to production code quality, yet still little is known on how developers apply refactoring on test code. Sp…
Machine Learning-Based Test Smell Detection
Valeria Pontillo, Dario Amoroso d'Aragona, Fabiano Pecorelli +3
Context: Test smells are symptoms of sub-optimal design choices adopted when developing test cases. Previous studies have proved their harmfulness for test code maintainability and…