@inproceedings{SisLab2636,
       booktitle = {The Eighth International Symposium on Information and Communication Technology (SoICT 2017)},
           title = {A Test Data Generation Method for C/C++ Projects},
          author = {Duc Anh Nguyen and Ngoc Hung Pham},
            year = {2017},
             url = {https://eprints.uet.vnu.edu.vn/eprints/id/eprint/2636/},
        abstract = {This research proposes an automated test data generation method for C/C++ projects to generate the lower number of test data while gaining higher code coverage in comparison with KLEE, CAUT, PathCrawler, and CREST. In order to do that, the proposed method contributes an algorithm named loop depth frst search by combining both static testing and concolic testing together. Besides, the paper also provides an improvement symbolic execution for avoiding the initial test data problem in the concolic testing. Currently, a tool supporting the proposed method has been developed and applied to test on di?erent C/C++ projects in several software companies. The experimental results show the higher coverage with the lower number of test data compared with the existing methods. The experimental results display the e?ectiveness and practical usefulness of the proposed method for automated test data generation in practice}
}