7 citations · 7 across the 5 of their papers we have counts for
5 papers · 1 filter
Many Hands Make Light Work: An LLM-based Multi-Agent System for Detecting Malicious PyPI Packages
Muhammad Umar Zeshan, Motunrayo Ibiyo, Claudio Di Sipio +2
Malicious code in open-source repositories such as PyPI poses a growing threat to software supply chains. Traditional rule-based tools often overlook the semantic patterns in sourc…
Addressing Popularity Bias in Third-Party Library Recommendations Using LLMs
Claudio Di Sipio, Juri Di Rocco, Davide Di Ruscio +1
Recommender systems for software engineering (RSSE) play a crucial role in automating development tasks by providing relevant suggestions according to the developer's context. Howe…
Prompt engineering and its implications on the energy consumption of Large Language Models
Riccardo Rubei, Aicha Moussaid, Claudio di Sipio +1
Reducing the environmental impact of AI-based software systems has become critical. The intensive use of large language models (LLMs) in software engineering poses severe challenge…
On the Need for Configurable Travel Recommender Systems: A Systematic Mapping Study
Rickson Simioni Pereira, Claudio Di Sipio, Martina De Sanctis +1
Travel Recommender Systems TRSs have been proposed to ease the burden of choice in the travel domain by providing valuable suggestions based on user preferences Despite the broad s…
Supporting Early-Safety Analysis of IoT Systems by Exploiting Testing Techniques
Diego Clerissi, Juri Di Rocco, Davide Di Ruscio +6
IoT systems complexity and susceptibility to failures pose significant challenges in ensuring their reliable operation Failures can be internally generated or caused by external fa…