activity
20232026
most citedGenerating Java Methods: An Empirical Assessment of Four AI-Based Code Assistants

24 citations · 58 across the 21 of their papers we have counts for

collaborators
Showing 2025Show all

8 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

From PREVENTion to REACTion: Enhancing Failure Resolution in Naval Systems

Maria Teresa Rossi, Leonardo Mariani, Oliviero Riganelli

Complex and large industrial systems often misbehave, for instance, due to wear, misuse, or faults. To cope with these incidents, it is important to timely detect their occurrences…

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

OpenCat: Improving Interoperability of ADS Testing

Qurban Ali, Andrea Stocco, Leonardo Mariani +1

Testing Advanced Driving Assistance Systems (ADAS), such as lane-keeping functions, requires creating road topologies or using predefined benchmarks. However, the test cases in exi…

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…