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Fine-Grained Analysis of Software Ecosystems as Networks (FASTEN)

Project
A popular form of software reuse involves linking open source software (OSS) libraries hosted on centralized code repositories, such as Maven or PyPI. Developers only need to declare dependencies to external libraries, and automated tools make them available to the workspace of the project. As recent events such as the LeftPad incident, which led to hundreds of thousands of websites to stop working, and the Equifax data breach, which led to a leak of hundreds of thousands of credit card numbers, have demonstrated, dependencies on networks of external libraries can introduce to projects significant operational and compliance risks as well as difficult to assess security implications. Solving these problems would boost the efficiency and production quality of software development companies by allowing them to reuse OSS code with confidence, covering a large untapped potential. To address this situation, the FASTEN project introduces fine-grained, method-level, tracking of dependencies on top of existing dependency management networks. Specifically, the project will introduce a service that tracks dependencies at the method call-graph level and performs sophisticated analyses of i) security vulnerability propagation, ii) licensing compliance, and iii) dependency risk profiles. To facilitate adoption, FASTEN will bring those analyses to the hands of developers by integrating the analysis service to popular package managers, for the Java, C, and Python programming languages. The project consortium comprises world-leading experts on ecosystem analysis, graph processing, and software risk and compliance assessment, along with established OSS community integrators and managers.
  • Overview
  • Research Areas
  • Publications

Overview

Contributors

VIGNA SEBASTIANO   Scientific Manager  

Departments involved

Dipartimento di Informatica Giovanni Degli Antoni   Principale  

Type

H20_RIA - Horizon 2020_Research & Innovation Action/Innovation Action

Funder

EUROPEAN COMMISSION
External Organization Funding Organization

Date/time interval

January 1, 2019 - December 31, 2021

Project duration

36 months

Research Areas

Concepts


Settore INF/01 - Informatica

Publications

Outputs (2)

Monotonicity in undirected networks 
NETWORK SCIENCE
CAMBRIDGE UNIVERSITY PRESS
2023
Academic Article
Open Access
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Fine-Grained Network Analysis for Modern Software Ecosystems 
ACM TRANSACTIONS ON INTERNET TECHNOLOGY
ASSOCIATION FOR COMPUTING MACHINERY (ACM)
2021
Academic Article
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