An Intelligent Continuous Integration Testing Method Based on Incremental Learning

Abstract

The invention relates to an intelligent continuous integration testing method of incremental learning. The method includes the steps of firstly, detecting product code change, and collecting the information of automatic testing needed by subsequent comparison and inquiry in a database at the same time; secondly, pulling a code library in a fixed time manner, and statistically counting a code change result; thirdly, achieving a detecting mechanism; fourthly, using a learning database system to classify product codes according to features. The intelligent continuous integration testing method has the advantages that a complete automatic testing frame support system is provided, the intelligent mechanism of incremental learning is introduced into a continuous integration testing system, the system is allowed to have learning ability, corresponding automatic testing cases are triggered according to the code change, the accuracy is enhanced along with the continuation of the incremental learning, the continuous integration tools of the automatic testing frame are effectively combined, and the requirements of actual application can be well satisfied.

Description

Technical field [0001] The invention belongs to the technical field of intelligent continuous integration testing, and specifically relates to an incremental learning intelligent continuous integration testing method. Background technique [0002] With the development of traditional software engineering technology and the rise of the Internet, agile development has developed rapidly. Because of the sufficient degree of freedom, the time to get started with agile development is very short. It satisfies the need to change during the project implementation process while emphasizing Test-Driven Development (TDD). Therefore, continuous integration as a best practice of agile development is more used by development teams, and software testing has also been promoted to an important position in the software process, rather than being underestimated by the "tail" in the waterfall flow. In order to liberate the repetitive labor of traditional manual white box and black box testing, and to...

AI Technical Summary

Problems solved by technology

However, this kind of framework does not give a solution to the problem of automation that takes up a lot of resources and is inefficient due to the large size of the project.

[0006] The traditional continuous integration system only monitors specific events and triggers a series of operations (including compilation, release, and automated testing). Frequent, the corresponding automated test lasts too long, and the execution frequency is too high. If the test cases are simplified, there is a risk of missing defects

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