Jacoco-based test analysis method, system and device and medium

Abstract

The invention relates to the technical field of program testing, in particular to a jacoo-based test analysis method, system and device and a medium. The invention aims to solve the technical problemsof how to reduce the workload of manual configuration and automatically and efficiently obtain the full / incremental coverage rate statistical analysis of a test version and even the difference analysis of different versions. The method comprises the steps: customizing project parameters by performing secondary development on jacoo and modifying a jacocoagent source code, developing a jacoo-basedtest analysis system by using flask, uploading a jacocoagent.jar to a specified position of a server where a tested service is located, a tested service script is started by using a jacocoagent, and transmitting the corresponding project parameters of the corresponding tested service; generating a corresponding coverage rate analysis task and / or a difference analysis task according to the analysisproject parameters and the service information of the database, and regularly scanning and executing the tasks. Therefore, automatic analysis of a large number of tests can be achieved, and a simpleand easy-to-use tool for full-quantity / increment coverage rate analysis and difference analysis is provided for testers.

Description

technical field [0001] The invention relates to the technical field of program code testing, in particular to a jacoco-based test statistics and analysis method, system, equipment and media. Background technique [0002] Code coverage (Code Coverage) is an important indicator reflecting the degree of coverage of the test case on the program under test, and it is also a reference value for measuring the integrity of the test. Whether it is a unit test, an API (Application Program Interface, application program interface) test, or a functional test, it is the code that calls the program in the end. After the test is over, through the code coverage data, you can know whether the test is sufficient and where the weaknesses of the test are, and then guide the developer or assistant tester to increase the test cases of the coverage rate. [0003] In the process of functional testing of program products, it is necessary to make statistics on the full and incremental coverage of ea...

AI Technical Summary

Problems solved by technology

If you want to know the code difference between the two versions, you need to download the code of the two versions and use tools to compare the code. When there are many products and many test versions, it is impossible to quickly realize the difference comparison analysis of the versions.

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