Automatic test method and system of television application

Abstract

The invention discloses an automatic test method and system of a television application. The method comprises the steps of installing an APK on a television, then building a normal or abnormal test environment according to different application services or service scenarios; and according to the built test environment, setting a test scenario of a television cluster, running a Python auto test script on the test environment, simulating a television key operation according to the Python auto test script so as to realize automatic operation of the television, storing test data of a television application service by using a Python log service procedure in the automatic operation process of the television, then writing a Python test verification script, analyzing a current log or data, performing analysis comparison on the analysis result and an expected result, and returning a test result finally. Through adoption of the automatic test method and system, the test efficiency is improved greatly, manpower cost is lowered, the test correctness rate is ensured, and the error rate is lowered; due to simulation in the abnormal test environment, the test coverage rate is improved greatly; and automatic test of the television cluster is realized.

Description

technical field [0001] The invention relates to the technical field of computer testing, in particular to an automatic testing method and system for television applications. Background technique [0002] With the development of science and technology, the concept of smart TV has developed rapidly since its birth. At present, the smart TV industry is developing very rapidly, the scale continues to expand, emerging technologies continue to emerge, application services are becoming more and more abundant, the construction of the ecosystem is accelerating, and the integration trend is becoming more and more significant. With the continuous update and release of smart TV application services, on the premise of bringing the best experience to users, a large number of tests are required before the application services are released online. However, in the current TV application testing, most companies still use manual testing, and few of them involve automated testing. Existing TV...

AI Technical Summary

Problems solved by technology

Existing TV application testing methods have the following disadvantages: (1) The verification time of manual testing is too long to meet the needs of rapid launch, and at the same time, a large amount of repetitive work leads to long overtime hours for testers

(2) A single test is only aimed at optimizing function points, resulting in low single test coverage

(3) Manual testing also has a high error rate

(4) Simulating the operation behavior of TV sets is a major difficulty in automated testing of current TV applications

(5) Automated testing of TV applications cannot simulate abnormal scenarios

(6) The verification problem of data feedback during the operation of TV applications has not been properly resolved

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