Classifying generated white-box tests: an exploratory study-Reference-Cited by-同舟云学术

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Classifying generated white-box tests: an exploratory study

Published:2019-05-17 Issue:3 Volume:27 Page:1339-1380
ISSN:0963-9314
Container-title:Software Quality Journal
language:en
Short-container-title:Software Qual J

Author:

Honfi Dávid^ORCID,Micskei Zoltán^ORCID

Funder

Emberi Eroforrások Minisztériuma

Pro Progressio Foundation

Publisher

Springer Science and Business Media LLC

Subject

Safety, Risk, Reliability and Quality,Software

Link

http://link.springer.com/content/pdf/10.1007/s11219-019-09446-5.pdf

Reference53 articles.

1. Almaghairbe, R., & Roper, M. (2016). Separating passing and failing test executions by clustering anomalies. Software Quality Journal, 25(3), 1–38. https://doi.org/10.1007/s11219-016-9339-1 .

2. Anand, S., Burke, E.K., Chen, T.Y., Clark, J., Cohen, M.B., Grieskamp, W., Harman, M., Harrold, M.J., McMinn, P. (2013). An orchestrated survey of methodologies for automated software test case generation. Journal of Systems and Software, 86(8), 1978–2001. https://doi.org/10.1016/j.jss.2013.02.061 .

3. Barr, E.T., Harman, M., McMinn, P., Shahbaz, M., Yoo, S. (2015). The oracle problem in software testing: A survey. IEEE Transactions on Software Engineering, 41(5), 507–525. https://doi.org/10.1109/TSE.2014.2372785 .

4. Basili, V., & Selby, R. (1987). Comparing the effectiveness of software testing strategies. IEEE Transactions on Software Engineering, SE-13(12), 1278–1296. https://doi.org/10.1109/TSE.1987.232881 .

5. Basili, V., Shull, F., Lanubile, F. (1999). Building knowledge through families of experiments. IEEE Transactions on Software Engineering, 25(4), 456–473. https://doi.org/10.1109/32.799939 .

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