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  2. Code injection - Wikipedia

    en.wikipedia.org/wiki/Code_injection

    Code injection is a computer security exploit where a program fails to correctly process external data, such as user input, causing it to interpret the data as executable commands. An attacker using this method "injects" code into the program while it is running.

  3. Data validation - Wikipedia

    en.wikipedia.org/wiki/Data_validation

    Data validation is intended to provide certain well-defined guarantees for fitness and consistency of data in an application or automated system. Data validation rules can be defined and designed using various methodologies, and be deployed in various contexts. [1]

  4. Improper input validation - Wikipedia

    en.wikipedia.org/wiki/Improper_input_validation

    Improper input validation [1] or unchecked user input is a type of vulnerability in computer software that may be used for security exploits. [2] This vulnerability is caused when "[t]he product does not validate or incorrectly validates input that can affect the control flow or data flow of a program." [1] Examples include: Buffer overflow

  5. Spreadsheet - Wikipedia

    en.wikipedia.org/wiki/Spreadsheet

    Use of user-defined function sq(x) in Microsoft Excel. Spreadsheets usually contain several supplied functions, such as arithmetic operations (for example, summations, averages, and so forth), trigonometric functions, statistical functions, and so forth. In addition there is often a provision for user-defined functions.

  6. Data sanitization - Wikipedia

    en.wikipedia.org/wiki/Data_sanitization

    In general, data sanitization techniques use algorithms to detect anomalies and remove any suspicious points that may be poisoned data or sensitive information. Furthermore, data sanitization methods may remove useful, non-sensitive information, which then renders the sanitized dataset less useful and altered from the original.

  7. Data cleansing - Wikipedia

    en.wikipedia.org/wiki/Data_cleansing

    Data cleansing or data cleaning is the process of identifying and correcting (or removing) corrupt, inaccurate, or irrelevant records from a dataset, table, or database.It involves detecting incomplete, incorrect, or inaccurate parts of the data and then replacing, modifying, or deleting the affected data. [1]

  8. How a GM layoff email sent to employees triggered a storm on ...

    www.aol.com/gm-layoff-email-sent-employees...

    Right now, Lalgee said, many companies are struggling to gain loyalty from employees. In the recruitment universe, he said, he hears comments all the time about how many younger people don’t ...

  9. Software verification and validation - Wikipedia

    en.wikipedia.org/wiki/Software_verification_and...

    Software validation ensures that "you built the right thing" and confirms that the product, as provided, fulfills the intended use and goals of the stakeholders. This article has used the strict or narrow definition of verification. From a testing perspective: Fault – wrong or missing function in the code.