This C-based shared library offers randomized tests and features both source and object codes. The library comes with Eclipse and gcc parameters, making it easier and more efficient to run tests.
One of the most impressive features of the Random Tests library is the wide range of tests it implements. From Approximate Entropy to Universal, this library covers a broad range of testing needs. Examples of included tests are Block Frequency, Cumulative Sums, Discrete Fourier Transform, Linear Complexity, Longest Run Of Ones, Rank, Overlapping Template Matchings, Runs, Serial, and Universal.
Overall, the Random Tests library is an excellent choice for developers looking to enhance the testing capabilities of their software. Implementing this library with its diverse test coverage can provide a high level of confidence in the correctness and robustness of software systems, ultimately leading to happier users and more successful projects.
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