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Fuzzing. In programming and software development, fuzzing or fuzz testing is an automated software testing technique that involves providing invalid, unexpected, or random data as inputs to a computer program. The program is then monitored for exceptions such as crashes, failing built-in code assertions, or potential memory leaks.
The main academic full-text databases are open archives or link-resolution services, although others operate under different models such as mirroring or hybrid publishers. Such services typically provide access to full text and full-text search, but also metadata about items for which no full text is available.
A search engine lists web pages on the Internet.This facilitates research by offering an immediate variety of applicable options. Possibly useful items on the results list include the source material or the electronic tools that a web site can provide, such as a dictionary, but the list itself, as a whole, can also indicate important information.
Full-text search. In text retrieval, full-text search refers to techniques for searching a single computer -stored document or a collection in a full-text database. Full-text search is distinguished from searches based on metadata or on parts of the original texts represented in databases (such as titles, abstracts, selected sections, or ...
Search-based software engineering ( SBSE) applies metaheuristic search techniques such as genetic algorithms, simulated annealing and tabu search to software engineering problems. Many activities in software engineering can be stated as optimization problems. Optimization techniques of operations research such as linear programming or dynamic ...
A/B testing (also known as bucket testing, split-run testing, or split testing) is a user experience research methodology. A/B tests consist of a randomized experiment that usually involves two variants (A and B), [2] [3] [4] although the concept can be also extended to multiple variants of the same variable.
Advanced source searching can provide more comprehensive and accurate search results compared to simpler standard searches, which can be useful for the assessment and determination of topic notability. Customizing searches to narrow results, using other search engines besides Google, and the general customization of search parameters can often ...
Open-source desktop search tool for Unix/Linux GPL : Spotlight: macOS: Found in Apple Mac OS X "Tiger" and later OS X releases. Proprietary Strigi: Linux, Unix, Solaris, Mac OS X and Windows: Cross-platform open-source desktop search engine. Unmaintained since 2011-06-02. LGPL v2 : Terrier Search Engine: Linux, Mac OS X, Unix