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Accidental correctness test case identification method and software error location method

A technology for test cases and identification methods, applied in software testing/debugging, error detection/correction, instruments, etc., and can solve problems such as low reliability

Inactive Publication Date: 2017-06-30
HENAN UNIVERSITY OF TECHNOLOGY
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Problems solved by technology

[0010] The purpose of this invention is to provide a kind of accidental correctness test case recognition method, in order to solve the problem that the reliability of the existing accidental correctness test case recognition method is not high

Method used

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  • Accidental correctness test case identification method and software error location method
  • Accidental correctness test case identification method and software error location method
  • Accidental correctness test case identification method and software error location method

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Embodiment Construction

[0075] Embodiment of Software Error Locating Method

[0076] First, the fuzzy c-means cluster analysis is introduced and explained, as follows:

[0077] Fuzzy c-means clustering analysis solves the objective function J(U,V) by finding the best pair (U,V) to use, thus transforming the clustering problem into a constrained nonlinear programming problem, which is solved by continuous iteration The optimal division of the data set is obtained, where U represents the membership matrix and V represents the cluster center point. We apply its cluster analysis results to incidental correctness test case identification for software bug localization. The FCM objective function is:

[0078]

[0079] Among them, since the data object processed in this paper is the program execution trajectory information, then the program execution trajectory information is set to include n test cases (t 1 , t 2 ,...,t j ,...,t n ) the trajectory information of the executed program, where x j Ind...

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Abstract

The invention relates to an accidental correctness test case identification method and a software error location method. When a software error is located, the accidental correctness test case identification method and the software error location method comprise the following steps that execution track information of a program is obtained; accidental correctness elements are identified; feature elements are selected from the identified accidental correctness elements; the dimension of the obtained execution track information of the program is simplified according to the selected feature elements, and irrelevant elements in the execution track information of the program is removed; accidental correctness test cases are identified according to the obtained execution track information of the program after simplifying the dimension and the fuzzy c-means clustering algorithm, and then the identified accidental correctness test cases are used for locating the error. The reliability is high when the algorithm is used for identifying the accidental correctness test cases. The accidental correctness test case identification method and the software error location method not only effectively identify the accidental correctness test cases, but also significantly improve the locating efficiency when the identification method is used for locating the software error.

Description

technical field [0001] The invention relates to an accidental correctness test case identification method and a software error location method, and belongs to the technical field of using the accidental correctness test case to locate software errors. Background technique [0002] The efficiency of software error location may be affected by many factors, such as the accidental correctness of test cases, the prioritization of test cases, the composition of test cases, and the coverage of test cases; especially for large and complex software programs, removing the test cases for accidental correctness can be effective Improve the efficiency of software error location. The error localization method based on coverage information has attracted extensive attention from industry and academia. But the localization efficiency of this kind of fault localization method is affected by different factors, for example, test case prioritization, accidental correctness, etc. The present in...

Claims

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Application Information

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IPC IPC(8): G06F11/36
CPCG06F11/3684
Inventor 曹鹤玲
Owner HENAN UNIVERSITY OF TECHNOLOGY
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