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Increasing test efficiency by risk-driven model-based testing
(Elsevier, 2018-10)
We introduce an approach and a tool, RIMA, for adapting test models used for model-based testing to augment information regarding failure risk. We represent test models in the form of Markov chains. These models comprise ...
VISOR: A fast image processing pipeline with scaling and translation invariance for test oracle automation of visual output systems
(The ACM Digital Library, 2018-02)
A test oracle automation approach proposed for systems that produce visual output.Root causes of accuracy issues analyzed for test oracles based on image comparison.Image processing techniques employed to improve the ...
Risk-driven model-based testing of washing machine software: an industrial case study
(IEEE, 2018-07-16)
We previously introduced an approach for risk-driven model-based testing. In that approach, test models are represented in the form of Markov chains and test case generation is steered by state transition probabilities. ...
Evaluation of distributed machine learning algorithms for anomaly detection from large-scale system logs: a case study
(IEEE, 2018)
Anomaly detection is a valuable feature for detecting and diagnosing faults in large-scale, distributed systems. These systems usually provide tens of millions of lines of logs that can be exploited for this purpose. ...
Towards a testing framework with visual feedback for actor-based systems
(IEEE, 2018-08-02)
We introduce a prototype testing framework as an extension of JUnit for testing actor-based systems. Our framework runs a given JUnit test in various schedules and records the execution trace for each run. In case a failure ...
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