The future of automated driving (AD) is rooted in the development of rob...
Automated test execution scheduling is crucial in modern software develo...
Deep Learning (DL) has revolutionized the capabilities of vision-based
s...
Solving Constraint Optimization Problems (COPs) can be dramatically
simp...
Reinforcement Learning (RL) agents have great successes in solving tasks...
Context: Tangled commits are changes to software that address multiple
c...
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...