Particle swarm taboo combination-based parallel test task dispatching method and platform

Abstract

The invention discloses a particle swarm taboo combination-based parallel test task dispatching method and a platform. The platform comprises a test resource and test task input module, a database module, a database management module, a format and parameter selection module, a dispatching method module, a dispatching result module, a dispatching result display and comparison module and a method expansion module. The method comprises the following steps of: storing test resource and test task data into the database module; then operating the test related data extracted in the database by usinga particle swarm taboo combination method; and finally, storing the dispatching result in the database or directly displaying and comparing the dispatching result in the dispatching result display and comparison module. The platform can expand other dispatching methods. The invention analyzes the advantages and the disadvantages of various current parallel task dispatching methods, provides the particle swarm taboo combination-based parallel test task dispatching method, overcomes the defect that a single algorithm is easy to involve in local optimum, and applies the method to the parallel test task dispatching.

Description

technical field [0001] The invention belongs to the field of parallel test task scheduling of an automatic test system, and in particular relates to a parallel test task scheduling method and platform based on particle swarm taboo combination. Background technique [0002] Traditional automatic test systems, limited by the capacity of the test interface and the operating mode of the test software, mostly use the serial test working mode, and cannot test multiple UUTs (Unit Under Test, equipment under test) or multiple tasks of a single UUT at the same time. The test method is mainly sequential test, and only one test task can be completed at a time, so the test throughput is not high. The computer is either waiting for the test instrument to complete the test, or for the device under test to reach a specified state to start the test. Therefore, computer and test instrument resources are generally idle for 70% to 80% of the time, and the test efficiency of the entire system ...

AI Technical Summary

Problems solved by technology

At the same time, in order to solve the technical problems that the existing scheduling methods are easy to fall into local optimum, low probability of optimization, and poor adaptability, a parallel test task scheduling method based on the combination of particle swarm optimization and taboo method is proposed.

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