Abstract
An increasing number of companies incorporate Big Data in order to increase business value and gain competitive advantages. With this new paradigm, also testing methodologies need to be revised to suit the specific requirements of Big Data. This paper summarizes the outcome of an exploratory survey conducted in 2018 with seven participants from different industries (Healthcare, Technology). The issues can be divided into four categories: (1) limited resources and performance problems, (2) verifying test results, (3) finding an optimal test coverage, and (4) availability of test data.
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Steidl, M., Breu, R., & Hupfauf, B. (2020). Challenges in Testing Big Data Systems: An Exploratory Survey. In Lecture Notes in Business Information Processing (Vol. 371 LNBIP, pp. 13–27). Springer. https://doi.org/10.1007/978-3-030-35510-4_2
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