Bilatu
18-tik 1-10 emaitza erakusten
Towards a Taxonomy for Eliciting Design-Operation Continuum Requirements of Cyber-Physical Systems
(IEEE, 2020)
Software systems that are embedded in autonomous Cyber-Physical Systems (CPSs) usually have a large life-cycle, both during its development and in maintenance. This software evolves during its life-cycle in order to ...
Seeding Strategies for Multi-Objective Test Case Selection: An Application on Simulation-based Testing
(ACM, 2020)
The time it takes software systems to be tested is usually long. This is often caused by the time it takes the entire test suite to be executed. To optimize this, regression test selection approaches have allowed for ...
QoS-aware Metamorphic Testing: An Elevation Case Study
(IEEE, 2020)
Elevators are among the oldest and most widespread transportation systems, yet their complexity increases rapidly to satisfy customization demands and to meet quality of service requirements. Verification and validation ...
Generating metamorphic relations for cyber-physical systems with genetic programming: an industrial case study
(ACM, 2021)
One of the major challenges in the verification of complex industrial Cyber-Physical Systems is the difficulty of determining whether a particular system output or behaviour is correct or not, the socalled test oracle ...
Model-Based Testing in Practice: An Industrial Case Study using GraphWalker
(ACM, 2021)
Model-based testing (MBT) is a test design technique that supports the automation of software testing processes and generates test artefacts based on a system model representing behavioural aspects of the system under test ...
Genetic Algorithm-based Testing of Industrial Elevators under Passenger Uncertainty
(IEEE, 2021)
Elevators, as other cyber-physical systems, need to deal with uncertainty during their operation due to several factors such as passengers and hardware. Such uncertainties could affect the quality of service promised by ...
On the Cost-Effectiveness of Composite Metamorphic Relations for Testing Deep Learning Systems
(IEEE, 2022)
Deep Learning (DL) components are increasing their presence in mission and safety-critical systems, such as autonomous vehicles. The verification process of such systems needs to be rigorous, for which automated solutions ...
Evolutionary generation of metamorphic relations for cyber-physical systems
(ACM, 2022)
A problem when testing Cyber-Physical Systems (CPS) is the difficulty of determining whether a particular system output or behaviour is correct or not. Metamorphic testing alleviates such a problem by reasoning on the ...
Towards the Isolation of Failure-Inducing Inputs in Cyber-Physical Systems: is Delta Debugging Enough?
(IEEE, 2022)
Cyber-Physical Systems (CPSs) combine digital cyber technologies with parallel physical processes. On the one hand, verification methods of such systems mostly rely on (system level) simulation-based testing. This technique ...
Performance-Driven Metamorphic Testing of Cyber-Physical Systems
(IEEE, 2022)
Cyber-physical systems (CPSs) are a new generation of systems, which integrate software with physical processes. The increasing complexity of these systems, combined with the uncertainty in their interactions with the ...