.png){kind=icon}
返回
Testability transformation
.png){kind=icon}
OA
AI
DOI：10.1109/TSE.2004.1265732.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
A testability transformation is a source-to-source transformation that aims to improve the ability of a given test generation method to generate test data for the original program. This paper introduces testability trans' formation, demonstrating that it differs from traditional transformation, both theoretically and practically, while still allowing many traditional transformation rules to be applied. The paper illustrates the theory of testability transformation with an example application to evolutionary testing. An-algorithm for flag removal is defined and results,are. presented from an empirical study which show how the algorithm improves both the performance of evolutionary test data generation and the adequacy level of the test data so-generated.
Keyword:
evolutionary testing
search-based software engineering
automated test data generation
transformation
期刊
IF:
5.6
论文数:
2.9K
被引数:
1.1W
机构
暂无机构信息
引用论文
Lysophosphatidylcholine aggravates contact hypersensitivity by promoting neutrophil infiltration and IL17 expression.png)
BMB ReportsOAAI
BMB ReportsIF0
OAAI分享收藏分享收藏
查看更多内容