8 citations · 16 across the 8 of their papers we have counts for
8 papers
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…
Is this Snippet Written by ChatGPT? An Empirical Study with a CodeBERT-Based Classifier
Phuong T. Nguyen, Juri Di Rocco, Claudio Di Sipio +3
Since its launch in November 2022, ChatGPT has gained popularity among users, especially programmers who use it as a tool to solve development problems. However, while offering a p…
Dealing with Popularity Bias in Recommender Systems for Third-party Libraries: How far Are We?
Phuong T. Nguyen, Riccardo Rubei, Juri Di Rocco +3
Recommender systems for software engineering (RSSEs) assist software engineers in dealing with a growing information overload when discerning alternative development solutions. Whi…
Leveraging Privacy Profiles to Empower Users in the Digital Society
Davide Di Ruscio, Paola Inverardi, Patrizio Migliarini +1
Privacy and ethics of citizens are at the core of the concerns raised by our increasingly digital society. Profiling users is standard practice for software applications triggering…
MemoRec: A Recommender System for Assisting Modelers in Specifying Metamodels
Juri Di Rocco, Davide Di Ruscio, Claudio Di Sipio +2
Model Driven Engineering (MDE) has been widely applied in software development, aiming to facilitate the coordination among various stakeholders. Such a methodology allows for a mo…
Recommending API Function Calls and Code Snippets to Support Software Development
Phuong T. Nguyen, Juri Di Rocco, Claudio Di Sipio +2
Software development activity has reached a high degree of complexity, guided by the heterogeneity of the components, data sources, and tasks. The proliferation of open-source soft…