Method for locating software unsoundness base on execution track block semblance

Abstract

The invention discloses a software defect locating method which is based on the lump similarity of execution traces, and the method comprises the following steps that: firstly, the executive information of test cases are collected and arranged, and the execution traces are generated; secondly, a test case set which has defects is positioned according to the lump similarity selection of the execution traces; thirdly, the system comparison is carried out to the execution traces of the selected test cases, and the suspecting rate of the operation part is calculated; fourthly, the suspecting rate of the operation part is mapped to the source program to generate a defect locating report. The invention can be widely applied to the automatic test environment of a large-scale software system, and relates to the stage and the work of an integrated test, a system test, an acceptance test, a user problem report analysis, etc.; the existing test data are fully utilized, and the lump similarity of the execution traces is based on to carry out the position to the software defect, thereby effectively reducing the searching range and improving the defect positioning efficiency. The invention can be used in each period and stage of the test, the selected test case set has higher pertinence, the calculation method of the suspecting rate of the operation part is simple and effective, and the expansibility is better.

Description

technical field [0001] The invention relates to defect location in software automation testing, in particular to effectively utilizing passed and failed test cases and comparing their execution trajectories to locate defects in software when there are a large number of test cases. Background technique [0002] Software defect localization methods are currently widely used in the stages and work of integration testing, system testing, acceptance testing, and user problem report analysis of large-scale software systems. Testing is an essential link in the software development process, and its ultimate goal is to ensure the quality of software. As software becomes more complex, the use of automated software testing grows. Automated testing can generate a large number of test cases and record the execution information of the test cases, so there is a large amount of test data that can be used before repairing defects. The traditional debugging method is only to track the defec...

AI Technical Summary

Problems solved by technology

[0004] The main purpose of the present invention is to propose a software defect location method based on the similarity of execution track blocks to narrow down the search range for developers to locate defects in software, aiming at the problem that the traditional software defect location method has a large workload and does not make full use of the existing test data. , improve the efficiency of defect location

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