Software testing method and device

Abstract

The invention discloses a software testing method and device. The software testing method includes the steps: running software to be tested on a client; generating buried point data when a buried point on the software to be tested is triggered, and transmitting the buried point data to a MongoDB database; acquiring the buried point data with failed test and check codes by an awk script configuredon the MongoDB database, and determining data to be analyzed; analyzing parameter information in the data to be analyzed by a preset analysis algorithm, and acquiring analysis results causing buried point test failure. The software to be tested comprises at least one functional module, and at least one buried point is arranged on each functional module. According to the software testing method, the buried point data are stored by the MongoDB database, and flexibility is stronger. The buried point data are analyzed by the awk script, the data to be analyzed are acquired, and the software testing method has the advantages of low threshold, simplicity in positioning and high data processing efficiency.

Description

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine

Login to view more

AI Technical Summary

Benefits of technology

This patented technology allows for easy access to hidden points from Java programs during their development process without having complicated installations or configurations. It uses a type called SQLite databases which are closed sources documents containing embedded data about how well different parts of these languages work together when executed correctly. These datasets provide valuable insights into program performance and potential problems affects them. By comparing this dataset against existing methods like regression tests, we found out if there were any issues between those two techniques.

Problems solved by technology

This patented technical solution describes two methods for analyzing hidden points within code: embedding or searching through specific parts of it. These techniques require significant effort from developers who have expertise in programming languages like Java or C++. Additionally, these solutions involve complex calculations that may take longer than necessary due to their complexity.

Images