Mutation testing can help reduce the risks of releasing faulty software....
Although App updates are frequent and software engineers would like to v...
The adoption of deep neural networks (DNNs) in safety-critical contexts ...
We present HUDD, a tool that supports safety analysis practices for syst...
Security testing aims at verifying that the software meets its security
...
When Deep Neural Networks (DNNs) are used in safety-critical systems,
en...
Cyber-physical systems (CPSs) typically consist of a wide set of integra...
Deep neural networks (DNNs) have demonstrated superior performance over
...
On-board embedded software developed for spaceflight systems (space soft...
Apps' pervasive role in our society led to the definition of test automa...
Deep neural networks (DNNs) are increasingly critical in modern
safety-c...
Security testing verifies that the data and the resources of software sy...
Software testing plays a crucial role to ensure the conformance of softw...
Product Line Engineering (PLE) is a crucial practice in many software
de...
Field failures, that is, failures caused by faults that escape the testi...
In this paper we present VART, a tool for automatically revealing regres...
Source Code Management (SCM) systems support software evolution by provi...