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  2. Defensive design - Wikipedia

    en.wikipedia.org/wiki/Defensive_design

    Defensive design is the practice of planning for contingencies in the design stage of a project or undertaking. Essentially, it is the practice of anticipating all possible ways that an end-user could misuse a device, and designing the device so as to make such misuse impossible, or to minimize the negative consequences.

  3. Defensive programming - Wikipedia

    en.wikipedia.org/wiki/Defensive_programming

    Defensive programming is a form of defensive design intended to develop programs that are capable of detecting potential security abnormalities and make predetermined responses. [1] It ensures the continuing function of a piece of software under unforeseen circumstances.

  4. Defensive computing - Wikipedia

    en.wikipedia.org/wiki/Defensive_computing

    Defensive computing is a form of practice for computer users to help reduce the risk of computing problems, by avoiding dangerous computing practices. The primary goal of this method of computing is to be able to anticipate and prepare for potentially problematic situations prior to their occurrence, despite any adverse conditions of a computer system or any mistakes made by other users.

  5. How to Design Programs - Wikipedia

    en.wikipedia.org/wiki/How_to_Design_Programs

    How to Design Programs (HtDP) is a textbook by Matthias Felleisen, Robert Bruce Findler, Matthew Flatt, and Shriram Krishnamurthi on the systematic design of computer programs. MIT Press published the first edition in 2001, and the second edition in 2018, which is freely available online and in print.

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  7. Idiot-proof - Wikipedia

    en.wikipedia.org/wiki/Idiot-proof

    In modern English usage, the informal term idiot-proof or foolproof describes designs that cannot be misused either inherently, or by use of defensive design principles. The implication is that the design is usable even by someone of low intelligence who would not use it properly. The term "foolproof" originates in 1902. [1]

  8. Robustness principle - Wikipedia

    en.wikipedia.org/wiki/Robustness_principle

    In computing, the robustness principle is a design guideline for software that states: "be conservative in what you do, be liberal in what you accept from others". It is often reworded as: "be conservative in what you send, be liberal in what you accept".

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