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A novel model for automatic test data generation based on predicate slice

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4 Author(s)
Xiyan Li ; Dept. of Inf. & Eng., Henan Univ. of Econ. & Law, Zhengzhou, China ; Fang Wang ; Tingting Wang ; Miao Wang

Test data is generated by making use of minimization branch function for a given path. This method is classical but it needs to iteratively calculate the current value of the variable in the predicate for the given path. For this reason, this paper devised a model for test data generation based on predicate slice by means of combining existed slicing technology with the hybrid encoding genetic algorithm proposed by us. The results of analyzing in theory show that this model is correct and efficient.

Published in:

Artificial Intelligence, Management Science and Electronic Commerce (AIMSEC), 2011 2nd International Conference on

Date of Conference:

8-10 Aug. 2011