Towards Overcoming Issues of Testing Probabilistic Distributed systems

Tajioue, Mohammed Amine; Maakoul, Oussama; Hsaini, Sara; Azzouzi, Salma; Charaf, My El Hassan

doi:10.1109/codit49905.2020.9263970

Cited by 3 publications

(1 citation statement)

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“…Finally, this paper deals with the probabilistic properties of distributed testing and can be considered as a continuity of previous works [22,23,24]. In fact, the paper enhances our algorithms described in [25,26,27] for the generation of local test sequence. More precisely, the paper focus on the constraints that specify the probability of exchanging messages between testers as well as optimizing testing in distributed systems using an adaptive controller.…”

Section: Literature Reviewmentioning

confidence: 97%

An Adaptive Approach to Optimize Probabilistic Distributed Testing

Tajioue¹,

Maakoul²,

Moutai³

et al. 2022

Stat., optim. inf. comput.

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Typically, conformance testing consists of placing a set of parallel testers at each port of an implementation to ensure its conformance to the specifification. However, a number of common fault detections occur if no coordination is made between these parallel testers and the implementation under test (IUT). Therefore, the test process must support mechanisms of coordination between these distributed components, particularly for implementation with stochastic behaviour. To this end, as well as to analyse the stochastic behaviour of the implementation under test, we propose in this paper an algorithm to generate for each tester a probabilistic local test sequence (PLTS) aiming to avoid both synchronization and observation issues. Finally, we suggest a new architecture based on Markov decision processes with an adaptive controller to control and optimize the whole testing process.

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