A Complete Cycle Of Test Data Management

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A Complete Cycle Of Test Data Management
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It is imperative for the test engineers to
deliver a reliable, trust-worthy error report but
even after identifying and retesting all the
defects, something is left out and always
identified at the UAT phase. Reason? An unplanned
test data management strategy.
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• Test data management can only happen by testing
  test data. In order to get an output, a tester
  needs to input some data inside the application,
  or testing software. This data further undergoes
  permutations and combinations for testing
  purposes.
• All the types of text from numeric, alphabets,
  alphanumeric, special characters to the lengthy
  text everything is included in the text box under
  the IT test environment management.
• As you start to add more functionality to your
  application, the corresponding test data also
  increases. You can try different input variations
  like user credentials, environmental data, setup
  data, input/output data, databases and more for
  testing.

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Why Test data is important in Software testing?
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• Suppose that, you have created a form on your
  application that requires name, address and
  password input. It is pretty obvious that you
  would have tested the test data of all the input
  field functionality. After ensuring the test
  data, the application is deployed to the
  production environment.
• Now when the user starts filling up the form and
  press Submit button, it results into a Blank
  page. Why so? When everything was tested what
  went wrong?
• The reason is, QA team forgot to check for the
  blank Field case. This if goes to the end user,
  results in havoc and affects the reputation and
  trustworthiness of the company.

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Hence it is imperative to have an exhaustive
check of the test data. The test data checklist
highlights are as given below No data /
Default data Valid data set Invalid data
set Illegal data format (corrupted) Boundary
Condition data set Data set for performance,
load and stress testing
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Test Data Management
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• If an obsolete, absent or wrong data comes in
  during the software testing, it can produce an
  unreliable, incomplete result which can be turned
  into a bug later.
• To overcome any such situation, it is important
  to have a systematic approach toward testing. The
  data collection can be done in any manner be it,
  excel sheet, Word document, Text file etc.
• For test data collection, you need to perform
  sampling, copy production data, copy test data
  from legacy client team and generate data using
  automated software. This preparation of data is
  many times referred to as test-bed preparation.

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• The difficulty that lies here is to collect data,
  that reflects future production data and covers
  all the aspects of how the user is going to use
  this application. New methodologies have been
  initiated for software testing owing to a faster,
  precise product release cycles.
• Companies are looking out for new technologies
  that would have the right potential and at the
  same time, be cost-effective.
• A systematic test data management means faster
  deployment of applications, and speedy way to
  achieve the business objectives. It would be
  worth if the company realise the importance and
  start investing in Test Data Management instead
  of putting themselves at risk.
• It is always better to ask an expert like enov8
  and get an effective test data management
  strategy.

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Contact Us Company Name ? Enov8 Contact
Person ? Ashley Hosking Address ?
Level 5, 14 Martin Place, Sydney, 2000, New South
Wales, Australia. Phone(s) ? ? 61
8916 6391 Website - ? ? ?
https//www.enov8.com
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Thank You