Relevant bibliographies by topics / TESTING DATA

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  1. Journal articles

Academic literature on the topic 'TESTING DATA'

Author: Grafiati
Published: 11 September 2023
Last updated: 12 June 2025

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Journal articles on the topic "TESTING DATA"

1

Kumar, Gagan, and Vinay Chopra. "Automatic Test Data Generation for Basis Path Testing." Indian Journal Of Science And Technology 15, no. 41 (2022): 2151–61. http://dx.doi.org/10.17485/ijst/v15i41.1503.

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2

Golfarelli, Matteo, and Stefano Rizzi. "Data Warehouse Testing." International Journal of Data Warehousing and Mining 7, no. 2 (2011): 26–43. http://dx.doi.org/10.4018/jdwm.2011040102.

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Abstract:
Testing is an essential part of the design life-cycle of a software product. Although most phases of data warehouse design have received considerable attention in the literature, not much research has been conducted concerning data warehouse testing. In this paper, the authors introduce a number of data mart-specific testing activities, classify them in terms of what is tested and how it is tested, and show how they can be framed within a reference design method to devise a comprehensive and scalable approach. Finally, the authors discuss some practical evidences emerging from a real case study.
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3

Uzych, Leo. "Genetic Testing Data." Journal of Occupational & Environmental Medicine 38, no. 1 (1996): 13–14. http://dx.doi.org/10.1097/00043764-199601000-00001.

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4

Rischitelli, Gary. "Genetic Testing Data." Journal of Occupational & Environmental Medicine 38, no. 1 (1996): 14. http://dx.doi.org/10.1097/00043764-199601000-00002.

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5

Walczak, Przemysław, and Jadwiga Daszyńska-Daszkiewicz. "Testing microphysics data." Proceedings of the International Astronomical Union 9, S301 (2013): 221–28. http://dx.doi.org/10.1017/s1743921313014361.

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AbstractHigh precision asteroseismic data provide a unique opportunity to test input microphysics such as stellar opacities, chemical composition or equation of state. These tests are possible because pulsational frequencies as well as amplitudes and phases of the light variations are very sensitive to the internal structure of a star. We can therefore compute pulsation models and compare them with observations. The agreement or differences should tell us whether some models are adequate or not, and which input data need to be improved.
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6

Surname, Bob. "Testing CrossMark data." Journal of CrossMark Testing 1, no. 2 (2011): 20. http://dx.doi.org/10.5555/cm_test_2.

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7

Harrold, Mary Jean, and Mary Lou Soffa. "Interprocedual data flow testing." ACM SIGSOFT Software Engineering Notes 14, no. 8 (1989): 158–67. http://dx.doi.org/10.1145/75309.75327.

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8

Krueger, Alan B. "Stress Testing Economic Data." Business Economics 45, no. 2 (2010): 110–15. http://dx.doi.org/10.1057/be.2010.4.

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9

Faitelson, David, and Shmuel Tyszberowicz. "Data refinement based testing." International Journal of System Assurance Engineering and Management 2, no. 2 (2011): 144–54. http://dx.doi.org/10.1007/s13198-011-0060-y.

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10

Ray, L. Bryan. "Testing biochemical data by simulation." Science 369, no. 6502 (2020): 387.10–389. http://dx.doi.org/10.1126/science.369.6502.387-j.

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