Web service crowdsourcing test task allocation method based on deep reinforcement learning
A test task and reinforcement learning technology, applied in the field of data processing, to improve test results and improve work efficiency
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[0017] In order to make the technical solutions and advantages of the present invention more clear, the technical solutions in the embodiments of the present invention are clearly and completely described below in conjunction with the drawings in the embodiments of the present invention:
[0018] Such as figure 1 A method for allocating Web service crowdsourcing testing tasks based on deep reinforcement learning is shown, which specifically includes the following steps:
[0019] S1: According to the data in the worker pool (i.e. worker set) and task pool (i.e. Web service crowdsourcing test task set) on the crowdsourcing platform, train the Web service test task assignment model based on deep reinforcement learning;
[0020] Further, the training of the Web service test task assignment model based on deep reinforcement learning takes the following steps:
[0021] S11: Combined with the actual crowdsourcing test environment, DQN (Deep Q-Learning Network) is used as a method to...
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