Model-Based Test Case Prioritization Using ACO: A review

被引：0
|
作者：
Sharma, Sonia [1 ]
Singh, Ajmer [1 ]
机构：
[1] DCRUST, Dept Comp Sci & Engg, Sonepat, India
来源：
2016 FOURTH INTERNATIONAL CONFERENCE ON PARALLEL, DISTRIBUTED AND GRID COMPUTING (PDGC) | 2016年
关键词：
Regression testing; Ant Colony Optimization; Test case Prioritization;
D O I：
暂无
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
Regression testing is very costly and inevitable activity of maintenance that is performed to ensure whether the modified software is valid or not. Running all the test cases of a test suit within given limited time and cost constraints is not possible. So, to cover the maximum number of faults in comparatively less time, it is necessary to prioritize the test cases. To solve the time constraint test case prioritization problems Ant Colony optimization (ACO) is a better approach. This paper presents a review on test case prioritization from a given test suite using ACO.
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页码：177 / 181
页数：5
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