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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 ...
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 ...
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 ...
Multi-Objective Metamorphic Test Case Selection: an Industrial Case Study (Practical Experience Report)
(IEEE, 2022)
Metamorphic testing is a technique that has shown great potential to alleviate the test oracle problem by exploiting the relations among the inputs and outputs of different executions of a system. However, this approach ...
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 ...
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 ...
Using Machine Learning to Build Test Oracles: an Industrial Case Study on Elevators Dispatching Algorithms
(IEEE, 2021)
The software of elevators requires maintenance over several years to deal with new functionality, correction of bugs or legislation changes. To automatically validate this software, test oracles are necessary. A typical ...