activity
20152026
most citedUniMiB SHAR: a new dataset for human activity recognition using acceleration data from smartphones

31 citations · 176 across the 37 of their papers we have counts for

collaborators
Showing 2025Show all

6 papers · 1 filter

cs.SE2025

Towards Multi-Platform Mutation Testing of Task-based Chatbots

Diego Clerissi, Elena Masserini, Daniela Micucci +1

Chatbots, also known as conversational agents, have become ubiquitous, offering services for a multitude of domains. Unlike general-purpose chatbots, task-based chatbots are softwa…

cs.SE2025

Bug Whispering: Towards Audio Bug Reporting

Elena Masserini, Daniela Micucci, Leonardo Mariani

Bug reporting is a key feature of mobile applications, as it enables developers to collect information about faults that escaped testing and thus affected end-users. This paper exp…

cs.SE2025

Towards the Assessment of Task-based Chatbots: From the TOFU-R Snapshot to the BRASATO Curated Dataset

Elena Masserini, Diego Clerissi, Daniela Micucci +2

Task-based chatbots are increasingly being used to deliver real services, yet assessing their reliability, security, and robustness remains underexplored, also due to the lack of l…

cs.SE2025

MultiMind: A Plug-in for the Implementation of Development Tasks Aided by AI Assistants

Benedetta Donato, Leonardo Mariani, Daniela Micucci +2

The integration of AI assistants into software development workflows is rapidly evolving, shifting from automation-assisted tasks to collaborative interactions between developers a…

cs.SE2025

Studying How Configurations Impact Code Generation in LLMs: the Case of ChatGPT

Benedetta Donato, Leonardo Mariani, Daniela Micucci +1

Leveraging LLMs for code generation is becoming increasingly common, as tools like ChatGPT can suggest method implementations with minimal input, such as a method signature and bri…

cs.SE2025

On the Possibility of Breaking Copyleft Licenses When Reusing Code Generated by ChatGPT

Gaia Colombo, Leonardo Mariani, Daniela Micucci +1

AI assistants can help developers by recommending code to be included in their implementations (e.g., suggesting the implementation of a method from its signature). Although useful…