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Unit testing represents the foundational basis of the software testing pyramid, beneath integration and end-to-end testing.
1906
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S. Shamshiri, “Automated unit test generation for evolving software,” in Proceedings of the 2015 10th Joint Meeting on Foundations of Software Engineering , 2015, pp. 1038–1041
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M. M. Almasi, H. Hemmati, G. Fraser, A. Arcuri, and J. Benefelds, “An industrial evaluation of unit test generation: Finding real faults in a financial application,” in 2017 IEEE/ACM 39th International Conference on Software Engineering: Software Engineering in Practice Track (ICSE-SEIP) . IEEE, 2017, pp. 263–272
2017
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2017
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2018
Cited alongside, same era.
A. Radford, J. Wu, R. Child, D. Luan, D. Amodei, and I. Sutskever, “Language models are unsupervised multitask learners,” 2018. [Online]. Available: https://d4mucfpksywv.cloudfront.net/better-language-models/language-models.pdf
2019
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2019
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A. Svyatkovskiy, Y. Zhao, S. Fu, and N. Sundaresan, “Pythia: ai-assisted code completion system,” in Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining , 2019, pp. 2727–2735
2019
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C. Raffel, N. Shazeer, A. Roberts, K. Lee, S. Narang, M. Matena, Y. Zhou, W. Li, and P. J. Liu, “Exploring the limits of transfer learning with a unified text-to-text transformer,” 2019
2019
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2018
Cited alongside, same era.
A. Radford, J. Wu, R. Child, D. Luan, D. Amodei, and I. Sutskever, “Language models are unsupervised multitask learners,” 2019
2019
Cited alongside, same era.
M. Lewis, Y. Liu, N. Goyal, M. Ghazvininejad, A. Mohamed, O. Levy, V. Stoyanov, and L. Zettlemoyer, “Bart: Denoising sequence-to-sequence pre-training for natural language generation, translation, and comprehension,” 2019
2019
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2020
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Agitar, “Utilizing Fast Testing to Transform Java Development into an Agile, Quick Release, Low Risk Process,” http://www.agitar.com/ , 2020
2020
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