Bayes‐TDG: effective test data generation using Bayesian belief network: toward failure‐detection effectiveness and maximum coverage

Author:

Feyzi Farid1,Parsa Saeed1

Affiliation:

1. School of Computer Engineering Iran University of Science and technology Tehran Iran

Publisher

Institution of Engineering and Technology (IET)

Subject

Computer Graphics and Computer-Aided Design

Reference49 articles.

1. Data Generation for Path Testing

2. Xu X. Chen Y. Li X. et al.: ‘A path-oriented test data generation approach for automatic software testing’.2008 Second Int. Conf. Anti-counterfeiting Security and Identification 2008 pp.63–66

3. Nikravan E. Feyzi F. Parsa S.: ‘Enhancing path-oriented test data generation using adaptive random testing techniques’.Second Int. Conf. Knowledge-Based Engineering and Innovation (KBEI) 2015 pp.510–513

4. Zhang J. Chen X. Wang X.: ‘Path-oriented test data generation using symbolic execution and constraint solving techniques’.Proc. Second Int. Conf. IEEE Software Engineering and Formal Methods 2004 SEFM 2004 2004 pp.242–250

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1. Path-oriented random testing through iterative partitioning (IP-PRT);TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES;2019-07-26

2. A reasoning-based approach to dynamic domain reduction in test data generation;International Journal on Software Tools for Technology Transfer;2018-05-08

3. Kernel-based detection of coincidentally correct test cases to improve fault localisation effectiveness;International Journal of Applied Pattern Recognition;2018

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