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	Automatic grammar-based test generation
	Guo, Hai-Feng ; Qiu, Zongyan
	2013
英文摘要	In this paper, we present an automatic grammar-based test generation approach which takes a symbolic grammar as input, requires zero control input from users, and produces well-distributed test cases. Our approach utilizes a novel dynamic stochastic model where each variable is associated with a tuple of probability distributions, which are dynamically adjusted along the derivation. The adjustment is based on a tabling strategy to keep track of the recursion of each grammar variable. We further present a test generation coverage tree illustrating the distribution of generated test cases and their detailed derivations, more importantly, it provides various implicit balance control mechanisms. We implemented this approach in a Java-based system, named Gena. Experimental results demonstrate the effectiveness of our test generation approach and show the balanced distribution of generated test cases over grammatical structures. ? IFIP International Federation for Information Processing 2013.; EI; 0
语种	英语
出处	EI
内容类型	其他
源URL	[http://hdl.handle.net/20.500.11897/412038]
专题	数学科学学院
推荐引用方式 GB/T 7714	Guo, Hai-Feng,Qiu, Zongyan. Automatic grammar-based test generation. 2013-01-01.

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