Identification of Attributes for Test Case Reusability in Regression Test Selection Techniques

被引:0
作者
Dhareula, Priyanka [1 ]
Ganpati, Anita [1 ]
机构
[1] Himachal Pradesh Univ, Dept Comp Sci, Shimla, India
来源
PROCEEDINGS OF THE 10TH INDIACOM - 2016 3RD INTERNATIONAL CONFERENCE ON COMPUTING FOR SUSTAINABLE GLOBAL DEVELOPMENT | 2016年
关键词
Regression testing; reusability; selection techniques; test case;
D O I
暂无
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
Regression testing is done after needful changes, ensuring that changes are working as required and does not produce unexpected results for a system under test. Regression testing encounters a significant difficulty of determining the relevant subgroup of test cases for reusability in regression test case selection. This paper performs an exploratory study of Regression Test Selection (RTS) techniques to identify the attributes of test cases for reusability. As the result of this study, the techniques have been categorized under two broad groups' i.e. code-based techniques and requirement based techniques. Further, the attributes for reusability of test cases are identified for code based and requirement based techniques. The study also center around the levels of test granularity for code based techniques used in regression test case selection i.e. fine granularity and coarse granularity. The study revealed that there exists a trade-off between the cost and level of granularity for test case effectiveness.
引用
收藏
页码:1144 / 1147
页数:4
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