Mutation testing can help reduce the risks of releasing faulty software....
Although App updates are frequent and software engineers would like to v...
Successful deployment of Deep Neural Networks (DNNs), particularly in
sa...
The growth of systems complexity increases the need of automated techniq...
Flaky tests are problematic because they non-deterministically pass or f...
Software systems log massive amounts of data, recording important runtim...
Test suite minimization (TSM) is typically used to improve the efficienc...
With the increasing complexity and scope of software systems, their
depe...
Deep neural networks (DNNs) are widely used in various application domai...
Cyber-Physical Systems (CPS) are most of the time safety-critical and
ex...
Weakly hard real-time systems can, to some degree, tolerate deadline mis...
The adoption of deep neural networks (DNNs) in safety-critical contexts ...
Executing large test suites is time and resource consuming, sometimes
im...
Deep Neural Networks (DNNs) have been widely used to perform real-world ...
We present HUDD, a tool that supports safety analysis practices for syst...
We introduce COREQQA, a tool for assisting requirements engineers in
acq...
Deep Reinforcement Learning (DRL) algorithms have been increasingly empl...
Most of the trace-checking tools only yield a Boolean verdict. However, ...
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
...
Software testing assures that code changes do not adversely affect exist...
Deep Neural Networks (DNNs) have been extensively used in many areas
inc...
Continuous Integration (CI) requires efficient regression testing to ens...
Regression testing is an essential activity to assure that software code...
Behavioral software models play a key role in many software engineering
...
We distinguish two general modes of testing for Deep Neural Networks (DN...
On-board embedded software developed for spaceflight systems (space soft...
Apps' pervasive role in our society led to the definition of test automa...
Continuous Integration (CI) significantly reduces integration problems,
...
In Europe and indeed worldwide, the General Data Protection Regulation (...
[Context] Natural language (NL) is pervasive in software requirements
sp...
Model inference aims to extract accurate models from the execution logs ...
Deep neural networks (DNNs) are increasingly critical in modern
safety-c...
Semantic legal metadata provides information that helps with understandi...
Security testing verifies that the data and the resources of software sy...
There is a growing body of research on developing testing techniques for...
Behavioral software models play a key role in many software engineering
...
Test automation requires automated oracles to assess test outputs. For c...