The future of automated driving (AD) is rooted in the development of rob...
Automated test execution scheduling is crucial in modern software develo...
In program verification, constraint-based random testing is a powerful
t...
Machine learning has become prevalent across a wide variety of applicati...
Context: Research collaborations between software engineering industry a...
Deep Learning (DL) has revolutionized the capabilities of vision-based
s...
In most optimization problems, users have a clear understanding of the
f...
Solving Constraint Optimization Problems (COPs) can be dramatically
simp...
Trustworthiness is a central requirement for the acceptance and success ...
Constraint Optimization Problems (COP) are often considered without
suff...
Metamorphic Testing is a software testing paradigm which aims at using
n...
Testing cyber-physical systems involves the execution of test cases on
t...
Testing the implementation of deep learning systems and their training
r...
Testing in Continuous Integration (CI) involves test case prioritization...
Constraint Programming (CP) is a powerful declarative programming paradi...
In multi-cycle assignment problems with rotational diversity, a set of t...
Arrays are ubiquitous in the context of software verification. However,
...
Floating-point computations are quickly finding their way in the design ...