翻訳と辞書 Words near each other ・ Robust skink ・ Robust statistics ・ Robust tuco-tuco ・ Robust white-eye ・ Robust woodpecker ・ Robust yellow bat ・ ROBUSTA ・ Robusta ・ Robusta coffee ・ Robusta Lionata ・ Robusta Maculata ・ ROBUSTA-1B ・ Robustiano Patrón Costas ・ Robustification ・ Robustness ・ Robustness (computer science) ・ Robustness (economics) ・ Robustness (evolution) ・ Robustness (morphology) ・ Robustness of complex networks ・ Robustness principle ・ Robustness testing ・ Robustness validation ・ Robustness/efficiency trade-off in simultaneous equations models ・ Robustum nodum ・ Robustus ・ Robuzy ・ Robuń ・ Roby ・ Roby and Northern Railroad Dictionary Lists mini英和辞書 mini和英辞書 Webster 1913 Latin-English FOLDOC Wikipedia English ウィキペディア

翻訳と辞書　辞書検索 [ 開発暫定版 ] スポンサード リンク Robustness (computer science) ： ウィキペディア英語版 Robustness (computer science) In computer science, robustness is the ability of a computer system to cope with errors during execution. Robustness can also be defined as the ability of an algorithm to continue operating despite abnormalities in input, calculations, etc. 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. Various commercial products perform robustness testing of software systems, and is a process of failure assessment analysis.〔http://www.stanford.edu/~bakerjw/Publications/Baker%20et%20al%20(2008)%20Robustness,%20Structural%20Safety.pdf〕 == Introduction == In general, building robust systems that encompass every point of possible failure is difficult because of the vast amount of possible inputs and input combinations.〔http://groups.csail.mit.edu/mac/users/gjs/6.945/readings/robust-systems.pdf〕 Since all inputs and input combinations would require too much time to test, developers cannot run through all cases exhaustively. Instead, the developer will try to generalize such cases.〔http://www.softwaretestingclub.com/profiles/blogs/importance-of-making〕 For example, imagine inputting in some integer values. Some selected inputs might consist of a negative number, zero, and a positive number. When using these numbers to test software in this way, the developer generalizes the set of all reals into three numbers. This is a more efficient and manageable method, but more prone to failure. Generalizing test cases is an example of just one technique to deal with failure—specifically, failure due to invalid user input. Systems generally may also fail due to other reasons as well, such as disconnecting from a network. Regardless, complex systems should still handle any errors encountered gracefully. There are many examples of such successful systems. Some of the most robust systems are evolvable and can be easily adapted to new situations.〔 抄文引用元・出典: フリー百科事典『 ウィキペディア（Wikipedia）』 ■ウィキペディアで「Robustness (computer science)」の詳細全文を読む スポンサード リンク 翻訳と辞書 : 翻訳のためのインターネットリソース Copyright(C) kotoba.ne.jp 1997-2016. All Rights Reserved.