Method and device for counting program code coverage rate in cloud container

Abstract

The invention provides a method and a device for counting the program code coverage rate in a cloud container. The method comprises the steps that a statistical tool container with a code coverage rate statistical tool is arranged at a node where a tested program container is located; establishing a shared directory to enable the statistical tool container and the tested program container to communicate with each other; and after communication is established, performing code coverage rate statistics on the tested program in the tested program container by utilizing the code coverage rate statistics tool in the statistics tool container. According to the method, collection and statistics of the code coverage rate in the container are achieved through node life cycle management of the cloudcontainer in a directory sharing mode, and modification of the application mirror image and code decoupling of the application mirror image can be avoided. In combination with the characteristics of acloud container, the statistical monitoring of the coverage rate is realized under the condition of avoiding the cooperative modification of an application mirror image, and the purpose of checking the code coverage condition in a test environment is achieved.

Description

technical field [0001] The invention relates to cloud technology, in particular to a method and device for counting program code coverage in a container on the cloud. Background technique [0002] Code coverage is a measure in software testing, which is used to reflect the proportion and degree of program code being tested, and is often used to measure the adequacy of code testing. In the traditional non-cloud computing environment, there are already very mature code coverage statistics methods, such as using various integrated development environment plug-ins or independent JAR packages, etc., which can obtain better statistical results during the development or testing phase. [0003] In the cloud computing environment, although there are traditional tools that can be transplanted accordingly and calculate the code coverage rate, they are often used in the traditional development stage of the application, or the application image needs to be modified before it can be used ...

AI Technical Summary

Problems solved by technology

For the Kubernetes-based cloud container environment, there is currently a need for statistical code coverage indicators in the test environment. However, due to the scenario that the application image cannot be modified after being submitted to the test environment, there is still a lack of a complete statistical code coverage solution that can meet the requirements.

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