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Regression testing is a type of software testing that ensures that previously developed and tested software still performs the same way after it is changed or interfaced with other software. Changes may include software enhancements, patches, configuration changes, etc. During regression testing, new software bugs or regressions may be uncovered. Sometimes a software change-impact analysis is performed to determine which areas could be affected by the proposed changes. These areas may include functional and non-functional areas of the system.
The purpose of regression testing is to ensure that changes such as those mentioned above have not introduced new faults.[1] One of the main reasons for regression testing is to determine whether a change in one part of the software affects other parts of the software.[2]
Common methods of regression testing include re-running previously completed tests and checking whether program behavior has changed and whether previously fixed faults have re-emerged. Regression testing can be performed to test a system efficiently by systematically selecting the appropriate minimum set of tests needed to adequately cover a particular change.
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American naturalist William Bartram wrote of the black vulture in his 1792 book Bartram's Travels, calling it Vultur atratus "black vuture" or "carrion crow".[2] German ornithologist Johann Matthäus Bechstein formally described it using this name in 1793. The common name "vulture" is derived from the Latin word vulturus, which means "tearer" and is a reference to its feeding habits.[3] The species name, ātrātus, means "clothed in black," from the Latin āter 'dull black'.[4] Veillot defined the genus Catharista in 1816, listing as its type C. urubu.[5] French naturalist Emmanuel Le Maout placed in its current genus Coragyps (as C. urubu) in 1853.[6] Isidore Geoffroy Saint-Hilaire has been listed as the author in the past, but he did not publish any official description.[7] The genus name means "raven-vulture",[8] from a contraction of the Greek corax/κόραξ and gyps/γὺψ for the respective birds.[9] The American Ornithologists' Union used the name Catharista atrata initially, before adopting Veillot's name (Catharista urubu) in their third edition.[10] By their fourth edition, they had adopted the current name.[11] The black vulture is basal (the earliest offshoot) to a lineage that gave rise to the turkey and greater and lesser yellow-headed vultures, diverging around 12 million years ago.[12]
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The black vulture (Coragyps atratus) is a bird in the New World vulture family commonly found from the southeastern United States to Central Chile and Uruguay in South America. Despite the similar name and appearance, this species is unrelated to the Eurasian black vulture, an Old World vulture in the family Accipitridae (which includes eagles, hawks, kites and harriers). The American species is the only extant member of the New World vulture genus Coragyps in the family Cathartidae. It inhabits relatively open areas near scattered forests or shrublands. With a wingspan of 1.5 m (4.9 ft), it is a large bird though relatively small for a vulture. It has black plumage, a featherless, grayish-black head and neck, and a short, hooked beak. The black vulture is a scavenger and feeds on carrion, but will also eat eggs or kill newborn animals. In areas populated by humans, it also feeds at garbage dumps. It finds its meals with its keen eyesight and sense of smell. Lacking a syrinx—the vocal organ of birds—its only vocalizations are grunts or low hisses.
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A product feed or product data feed is a file made up of a list of products and attributes of those products organized so that each product can be displayed, advertised or compared in a unique way.[1] A product feed typically contains a product image, title, product identifier, marketing copy, and product attributes.

Applications

While product feeds differ in content and structure, the goal remains the same – deliver high-quality (fresh, relevant, accurate, comprehensive) information so that shoppers can make a buying decision.[4]
Product data feeds are often delivered between manufacturers and retailers,[5] and are also used within a variety of online marketing channels that help shoppers locate the product they wish to purchase and drive the traffic to the retailers' website. These marketing channels include:
  1. Price comparison websites – Feeds are the product descriptive content needed to run sites that compare pricing (price comparison websites), attributes (mostly in vertical search portals) and availability.[6]
  2. Paid search affiliates – PPC campaigns use API's that receive a range of attributes within product feeds to determine campaign keywords and bidding.
  3. Affiliate networks – affiliate networks funnel products though their platforms from merchants to affiliates.
  4. Marketplaces – receive product feeds from their merchants (eBay and Amazon for example).[7]
  5. Social Networks - can accept product feeds from merchants to list products (Facebook, Instagram, Pinterest for example).[8]

Feed formats

  • Other product listing sites use proprietary formats that are either plain text or XML format.
  • Emerging RDF format: Semantic web standards such as RDF are taking root. It is expected product feed will soon adopt this new web standard.
 
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