Efficient state synchronisation in model-based testing through reinforcement learning

Model-based testing is a structured method to test complex systems. Scaling up model-based testing to large systems requires improving the efficiency of various steps involved in testcase generation and more importantly, in test-execution. One of the most costly steps of model-based testing is to br...

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Bibliographic Details

Published in:	IEEE/ACM International Conference on Automated Software Engineering : [proceedings] pp. 368 - 380
Main Authors:	Turker, Uraz Cengiz, Hierons, Robert M., Mousavi, Mohammad Reza, Tyukin, Ivan Y.
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01.11.2021
Subjects:	Learning automata Memory management Model based testing Q-learning reinforcement learning Software algorithms Software testing synchronising sequence Synchronization Systematics Test pattern generators
ISSN:	2643-1572
Online Access:	Get full text
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