Dependency injection-based semi-automatic android application test method

Abstract

The invention provides a dependency injection-based semi-automatic android application test method. According to the method, the advantages of manual test and random test can be combined, through utilizing an Xposed framework, system dependency requests related to application calling are obtained, and in the test process, various dependencies required for the right operation of applications are provided, so that the test coverage is improved and bugs are efficiently detected. The method comprises an Android mobile phone preprocessing process, a target program code plug-in mounting process, a random test process and a dependency injection process. By utilizing the method provided by the invention, the dependency requests in application test process can be automatically detected in a lightweight manner, and resource type dependencies are automatically provided, so that the problem of dependency deficiency in the automatic test process is solved; and a method which combines the advantages, of solving complicated interaction and providing user dependencies, of a manual manner and the characteristic, of discovering unexpected defects, of random test to carry out semi-automatic test is disclosed, so that the automatic test efficiency and quality are improved.

Description

technical field [0001] The invention relates to the field of mobile application testing, in particular to a semi-automatic testing method for Android applications based on dependency injection. Background technique [0002] With the popularity of smartphones, mobile apps have gradually become a part of our daily life. Due to the fragmentation of the Android system and devices, many apps cannot be fully tested at present. We can see a lot from the negative reviews in the Android market. The application is defective. At present, mobile testing technology is mainly divided into manual testing and automatic testing. It is generally believed that manual testing is time-consuming, labor-intensive and error-prone, but humans are intelligent and can generate valuable test cases and improve test results. Due to its open source characteristics and huge market share, Android has attracted a group of researchers to study and develop many automated testing tools, among which Monkey is a...

AI Technical Summary

Problems solved by technology

Android applications need a lot of external dependencies to run correctly. For example, the music player needs music files to play, and the email client needs the user to provide an available email account to access its main functions. If these dependencies are not provided, it is difficult for automatic testing tools to pass the generated events to reach application states that real users can easily reach, making it nearly impossible to test the main functionality of these applications

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