A pragmatic approach for hyper-parameter tuning in search-based test case generation
Author:
Funder
Mitacs Accelerate Program
Natural Sciences and Engineering Research Council of Canada
Publisher
Springer Science and Business Media LLC
Subject
Software
Link
https://link.springer.com/content/pdf/10.1007/s10664-021-10024-2.pdf
Reference67 articles.
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3. Ali S, Briand LC, Hemmati H, Kaur Panesar-Walawege R (2010) A systematic review of the application and empirical investigation of search-based test case generation. IEEE Trans Softw Eng 36(6):742–762. https://doi.org/10.1109/TSE.2009.52
4. Fraser G, Arcuri A (2011) EvoSuite: automatic test suite generation for object-oriented software. In: Proceedings of the 19th ACM SIGSOFT symposium and the 13th european conference on foundations of software engineering. ACM
5. Freisleben B, Härtfelder M (1993) Optimization of genetic algorithms by genetic algorithms. In: Artificial neural nets and genetic algorithms. Springer, Vienna, pp 392–399
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