A Testing Method for Object-oriented Program based on Adaptive Random Testing with Variable Probability

被引：0

作者：

Lv, Tianxiang ^{[1
]}

Bao, Qihao ^{[1
]}

Chen, Haibo ^{[1
]}

Zhang, Chi ^{[1
]}

机构：

[1] Jiangsu Univ, Sch Comp Sci & Commun Engn, Zhenjiang 212013, Jiangsu, Peoples R China

来源：

2021 21ST INTERNATIONAL CONFERENCE ON SOFTWARE QUALITY, RELIABILITY AND SECURITY COMPANION (QRS-C 2021) | 2021年

基金：

中国国家自然科学基金; 中国博士后科学基金;

关键词：

Object-oriented Program; Probability Density Function; Adaptive Random Testing;

D O I：

10.1109/QRS-C55045.2021.00171

中图分类号：

TP31 [计算机软件];

学科分类号：

081202 ; 0835 ;

摘要：

Object-oriented program (OOP) is very popular in these years for its advantages, but the testing method for OOP is still not mature enough. To deal with the problem that it is impossible to generate the probability density function by simply numeralizing a point in the lest case caused by the complex structure of the object-oriented test case, we propose the Adaptive Random Testing through Test Profile for Object-Oriented software (ART(TP)-OO). It generates a test case at the edge of the input field and calculates the distance between object-oriented test cases using Object and Method Invocation Sequence Similarity (OMISS) metric formula. And the probability density function is generated by the distance to select the test cases, thereby realizing the application of ART(TP) algorithm in OOP. The experimental results indicate the proposed ART(TP)-OO consumes less time cusi without reducing the detection effectiveness.

引用

页码：1155 / 1156

页数：2

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