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Robustness is the property of being strong and healthy in constitution. When it is transposed into a system, it refers to the ability of tolerating perturbations that might affect the system's functional body.
A thesaurus (pl.: thesauri or thesauruses), sometimes called a synonym dictionary or dictionary of synonyms, is a reference work which arranges words by their meanings (or in simpler terms, a book where one can find different words with similar meanings to other words), [1] [2] sometimes as a hierarchy of broader and narrower terms, sometimes simply as lists of synonyms and antonyms.
Robustness can encompass many areas of computer science, such as robust programming, robust machine learning, and Robust Security Network. Formal techniques, such as fuzz testing, are essential to showing robustness since this type of testing involves invalid or unexpected inputs. Alternatively, fault injection can be used to test robustness ...
A thesaurus or synonym dictionary lists similar or related words; these are often, but not always, synonyms. [15] The word poecilonym is a rare synonym of the word synonym. It is not entered in most major dictionaries and is a curiosity or piece of trivia for being an autological word because of its meta quality as a synonym of synonym.
The cause for the start of the project was the arrival of OpenOffice.org in 2002, which was missing the thesaurus of its parent, StarOffice, due to its licensing.. OpenThesaurus filled that gap by importing possible synonyms from a freely available German/English dictionary and refining and updating these in crowdsourced work through the use of a web ap
Power Thesaurus was created by Alexander Radyushin in 2012 and developed by Radyushin & Co. [3] [4] The domain name for the thesaurus was registered on September 18, 2012. In 2015, the android and iOS app versions of the thesaurus were developed while its Chrome and Opera browser extensions were released in 2016. [5] [6]
Robustness testing is any quality assurance methodology focused on testing the robustness of software.Robustness testing has also been used to describe the process of verifying the robustness (i.e. correctness) of test cases in a test process.
In his book, Taleb stresses the differences between antifragile and robust/resilient. "Antifragility is beyond resilience or robustness. The resilient resists shocks and stays the same; the antifragile gets better." [1] The concept has now been applied to ecosystems in a rigorous way. [17]