Bucket
testing is also called as variable testing or A-B testing. A bucket is a
storage unit that contains data. The bucket design goals are: aggregation, intelligence,
self-sufficiency, mobility, heterogeneity and archive independence and
metadata, as well as the methods for accessing both. Bucket testing methodology
is largely used for website testing and not for software testing.
Buckets
contain 0 or more packages. Packages contain 0 or more elements. Actual data
objects are stored as elements, and elements are grouped together in packages
within a bucket. Testing this actual data objects, which are stores as elements
and number of elements that are grouped together in packages that are within a
bucket is known as bucket testing.
Bucket
testing services is a methodology for gauging the impact of different product
designs on a Web site's metrics. The basic premise is to run two simultaneous
versions of a single or set of Web pages in order to measure the difference in
clicks, traffic, transactions, and more between the two. Bucket testing
provided a great way to send a small amount of traffic (usually less than 5%)
to a different user interface without negatively impacting the bottom line if
our new design had unintended negative consequences.
Bucket
testing is often known by many other names like split testing and A/ B testing.
It is often considered to be a market testing methodology which helps to ensure
QA services within organization. The bucket testing methodology is used to
compare a variety of baseline control samples with the single variables test
samples. This is done for improving the responding rates of the whole mechanisms
and consider in independent testing services for websites.
It is direct mail strategy classic in nature. It has been employed in the
interactive space to make use of features like landing pages, emails and banner
ads etc.