Automatic fault injection and fault detecting method and system

Abstract

The invention relates to an automatic fault injection and fault detecting method and system. The method includes the steps of S1, performing automatic fault injection on a to-be-detected file, and analyzing and generating multiple fault files; S2, respectively processing the fault files to generate multiple executable files; S3, selecting specific case library according to the to-be-detected file, operating the cases in the case library one by one on each executable file to perform fault detection, and calculating fault detecting rate. The method has the advantages that source code fault injection is used, error occurrence can be accelerated, whether faults exists in software or not can be judged, high fault detection capacity is achieved, and good detecting effect of small-probability errors is achieved.

Description

Technical field [0001] The invention relates to software testing technology, in particular to a method and system for automatic fault injection and fault detection in software testing. Background technique [0002] Fault Injection (Fault Injection) technology, as a special testing technology, usually refers to the generation of faults according to a certain fault model and controllable application to the target system under test to accelerate the occurrence of errors and failures of the system. Fault detection is to observe and check the response information of the system to the injected error and determine whether the injected fault is detected. The combination of the two can analyze the error handling, error tolerance and robustness of the target system, and verify and evaluate the system. [0003] Although the fault injection method has high error detection capabilities, how to automatically inject large-scale faults, and how to effectively execute a large number of fault files...

AI Technical Summary

Problems solved by technology

In current practical applications, fault injection is mostly performed manually or semi-automatically, which consumes a lot of labor costs and the test efficiency is also very low.

Moreover, only small-scale source code fault injection can be performed, and comprehensive source code fault injection and detection for large-scale programs or entire projects cannot be performed, and the high error detection ability of this method cannot be fully utilized

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