35 citations · 35 across the 5 of their papers we have counts for
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Bake Two Cakes with One Oven: RL for Defusing Popularity Bias and Cold-start in Third-Party Library Recommendations
Minh Hoang Vuong, Anh M. T. Bui, Phuong T. Nguyen +1
Third-party libraries (TPLs) have become an integral part of modern software development, enhancing developer productivity and accelerating time-to-market. However, identifying sui…
Detecting Malicious Source Code in PyPI Packages with LLMs: Does RAG Come in Handy?
Motunrayo Ibiyo, Thinakone Louangdy, Phuong T. Nguyen +2
Malicious software packages in open-source ecosystems, such as PyPI, pose growing security risks. Unlike traditional vulnerabilities, these packages are intentionally designed to d…
Teamwork makes the dream work: LLMs-Based Agents for GitHub README.MD Summarization
Duc S. H. Nguyen, Bach G. Truong, Phuong T. Nguyen +2
The proliferation of Large Language Models (LLMs) in recent years has realized many applications in various domains. Being trained with a huge of amount of data coming from various…
Providing Upgrade Plans for Third-party Libraries: A Recommender System using Migration Graphs
Riccardo Rubei, Davide Di Ruscio, Claudio Di Sipio +2
During the development of a software project, developers often need to upgrade third-party libraries (TPLs), aiming to keep their code up-to-date with the newest functionalities of…
Development of recommendation systems for software engineering: the CROSSMINER experience
Juri Di Rocco, Davide Di Ruscio, Claudio Di Sipio +2
To perform their daily tasks, developers intensively make use of existing resources by consulting open-source software (OSS) repositories. Such platforms contain rich data sources,…