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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 ...
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 ...
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 ...
Microservices for Continuous Deployment, Monitoring and Validation in Cyber-Physical Systems: an Industrial Case Study for Elevators Systems
(IEEE, 2021)
Cyber-Physical Systems (CPSs) are systems that integrate digital cyber computations with physical processes. The software embedded in CPSs has a long life-cycle, requiring constant evolution to support new requirements, ...
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 ...
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 ...
