On the Impact of Tool Evolution and Case Study Size on SBSE Experiments: A Replicated Study with EvoMaster
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-48796-5_8
Reference22 articles.
1. EvoMaster. https://github.com/EMResearch/EvoMaster
2. Evomaster benchmark (emb). https://github.com/EMResearch/EMB Accessed 20 May 2022
3. Arcuri, A., Briand, L.: A Hitchhiker’s guide to statistical tests for assessing randomized algorithms in software engineering. Softw. Test., Verification Reliab. (STVR) 24(3), 219–250 (2014)
4. Arcuri, A., et al.: EMB: A curated corpus of web/enterprise applications and library support for software testing research. In: IEEE International Conference on Software Testing, Verification and Validation (ICST). IEEE (2023)
5. Arcuri, A.: Many Independent Objective (MIO) algorithm for test suite generation. In: International Symposium on Search Based Software Engineering (SSBSE), pp. 3–17 (2017)
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