activity
20062023
most citedDeep Reinforcement Learning for Black-Box Testing of Android Apps

94 citations · 198 across the 10 of their papers we have counts for

collaborators

12 papers

cs.AR2023★ 5 cited

NEUROPULS: NEUROmorphic energy-efficient secure accelerators based on Phase change materials aUgmented siLicon photonicS

Fabio Pavanello, Cedric Marchand, Ian O'Connor +34

This special session paper introduces the Horizon Europe NEUROPULS project, which targets the development of secure and energy-efficient RISC-V interfaced neuromorphic accelerators…

cs.CR2023★ 4 cited

Automated Black-box Testing of Mass Assignment Vulnerabilities in RESTful APIs

Davide Corradini, Michele Pasqua, Mariano Ceccato

Mass assignment is one of the most prominent vulnerabilities in RESTful APIs. This vulnerability originates from a misconfiguration in common web frameworks, such that naming conve…

cs.SE2021

Restats: A Test Coverage Tool for RESTful APIs

Davide Corradini, Amedeo Zampieri, Michele Pasqua +1

Test coverage is a standard measure used to evaluate the completeness of a test suite. Coverage is typically computed on source code, by assessing the extent of source code entitie…

cs.SE2021

Empirical Comparison of Black-box Test Case Generation Tools for RESTful APIs

Davide Corradini, Amedeo Zampieri, Michele Pasqua +1

In literature, we can find research tools to automatically generate test cases for RESTful APIs, addressing the specificity of this particular programming domain. However, no direc…

cs.SE2021★ 1 cited

EtherSolve: Computing an Accurate Control-Flow Graph from Ethereum Bytecode

Filippo Contro, Marco Crosara, Mariano Ceccato +1

Motivated by the immutable nature of Ethereum smart contracts and of their transactions, quite many approaches have been proposed to detect defects and security problems before sma…

cs.SE2021★ 94 cited

Deep Reinforcement Learning for Black-Box Testing of Android Apps

Andrea Romdhana, Alessio Merlo, Mariano Ceccato +1

The state space of Android apps is huge and its thorough exploration during testing remains a major challenge. In fact, the best exploration strategy is highly dependent on the fea…