Bilatu
12-tik 1-10 emaitza erakusten
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 ...
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 ...
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 ...
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, ...
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 a DevOps Approach in Cyber Physical Production Systems Using Digital Twins
(Springer Nature Switzerland AG, 2020)
Nowadays product manufacturing must respond to mass customisation of products in order to meet the global market needs. This requires an agile and dynamic production process to be competitive in the market. Consequently, ...
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 ...
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 ...
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 ...