Test Effectiveness Evaluation of Prioritized Combinatorial Testing: A Case Study
2016 IEEE International Conference on Software Quality, Reliability and Security (QRS)(2016)
摘要
Combinatorial testing is a widely-used technique to detect system interaction failures. To improve test effectiveness with given priority weights of parameter values in a system under test, prioritized combinatorial testing constructs test suites where highly weighted parameter values appear earlier or more frequently. Such order-focused and frequency-focused combinatorial test generation algorithms have been evaluated using metrics called weight coverage and KL divergence but not sufficiently with fault detection effectiveness so far. We evaluate the fault detection effectiveness on a collection of open source utilities, applying prioritized combinatorial test generation and investigating its correlation with weight coverage and KL divergence.
更多查看译文
关键词
Prioritized combinatorial testing,Pairwise testing,Fault detection,Weight coverage,KL divergence
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要