Automating Test Case Generation from Class Diagram Using Generative AI
Author:
Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-66850-0_15
Reference18 articles.
1. Bandi, A., Adapa, P.V.S.R., Kuchi, Y.E.V.P.K.: The power of generative AI: a review of requirements, models, input–output formats, evaluation metrics, and challenges. Future Internet 15(8), 260 (2023)
2. Ouédraogo, W.C., et al.: Enriching automatic test case generation by extracting relevant test inputs from bug reports. arXiv preprint arXiv:2312.14898 (2023)
3. Smith, P.G., Morrow, R.H., Ross, D.A.: Outcome measures and case definition. In: Field Trials of Health Interventions: A Toolbox, 3rd edn. OUP Oxford (2015)
4. O'Regan, G.: Test case analysis and design. Concise Guide Softw. Test., 117–132 (2019)
5. Molina, F., Ponzio, P., Aguirre, N., Frias, M.: EvoSpex: an evolutionary algorithm for learning postconditions, pp. 1223–1235. IEEE (2021)
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