Machine Learning-Based Test Smell Detection

1 code implementation • 16 Aug 2022 • Valeria Pontillo, Dario Amoroso d'Aragona, Fabiano Pecorelli, Dario Di Nucci, Filomena Ferrucci, Fabio Palomba

Objective: We propose the design and experimentation of a novel test smell detection approach based on machine learning to detect four test smells.

Detecting Security Fixes in Open-Source Repositories using Static Code Analyzers

1 code implementation • 7 May 2021 • Therese Fehrer, Rocío Cabrera Lozoya, Antonino Sabetta, Dario Di Nucci, Damian A. Tamburri

The sources of reliable, code-level information about vulnerabilities that affect open-source software (OSS) are scarce, which hinders a broad adoption of advanced tools that provide code-level detection and assessment of vulnerable OSS dependencies.

Automated Mapping of Vulnerability Advisories onto their Fix Commits in Open Source Repositories

2 code implementations • 24 Mar 2021 • Daan Hommersom, Antonino Sabetta, Bonaventura Coppola, Dario Di Nucci, Damian A. Tamburri

When considering the top-10 commits in the ranked results, our implementation could successfully identify at least one fix commit for up to 84. 03% of the vulnerabilities (with a fix commit on the first position for 65. 06% of the vulnerabilities).

Automated Test-Case Generation for Solidity Smart Contracts: the AGSolT Approach and its Evaluation

1 code implementation • 17 Feb 2021 • Stefan Driessen, Dario Di Nucci, Geert Monsieur, Willem-Jan van den Heuvel

Blockchain and smart contract technology are novel approaches to data and code management that facilitate trusted computing by allowing for development in a distributed and decentralized manner.

Software Engineering