The article discusses how analytical methods can be tested for robustness, which means they can still give accurate results even with small changes in conditions. Researchers recommend using two-level full factorial designs for these tests, but fractional factorial designs are more commonly used for convenience. The Plackett-Burman designs are often used for robustness evaluations. The article also gives examples of how chemometric tools can be used in these tests. The terms robustness and ruggedness are discussed, and the article cites 75 references.