April 30, 2020 Journal article Open Access

Prashant Vats; Manju Mandot; Saurabh Mukherjee; Neelam Sharma

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  <dc:contributor>Blue Eyes Intelligence Engineering  &amp; Sciences Publication(BEIESP)</dc:contributor>
  <dc:creator>Prashant Vats</dc:creator>
  <dc:creator>Manju Mandot</dc:creator>
  <dc:creator>Saurabh Mukherjee</dc:creator>
  <dc:creator>Neelam Sharma</dc:creator>
  <dc:date>2020-04-30</dc:date>
  <dc:description>In this paper our aim is to propose a Test Case Selection and Prioritization technique for OOP for ordering the test cases as per in accordance with their priority for finding the faults in the OOS. We have used the heuristic Genetic Algorithm, in order to generating the order of these prioritized test cases for a given OOS. The motive is to put a test case first into the ordered sequence that may have the highest prospective of finding an error in the given OOS &amp; then soon..</dc:description>
  <dc:identifier>https://zenodo.org/record/5553783</dc:identifier>
  <dc:identifier>10.35940/ijeat.C6639.049420</dc:identifier>
  <dc:identifier>oai:zenodo.org:5553783</dc:identifier>
  <dc:language>eng</dc:language>
  <dc:relation>issn:2249-8958</dc:relation>
  <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
  <dc:rights>https://creativecommons.org/licenses/by/4.0/legalcode</dc:rights>
  <dc:source>International Journal of Engineering and Advanced Technology (IJEAT) 9(4) 349-354</dc:source>
  <dc:subject>Test Case Selection, Test case prioritization, Genetic Algorithm, Fitness function, Object Oriented Software.</dc:subject>
  <dc:subject>ISSN</dc:subject>
  <dc:subject>Retrieval Number</dc:subject>
  <dc:title>Test Case Prioritization &amp; Selection for an  Object Oriented Software using Genetic  Algorithm.</dc:title>
  <dc:type>info:eu-repo/semantics/article</dc:type>
  <dc:type>publication-article</dc:type>
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