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User Story based Automatic Test Case Classification and prioritization using NLP (Natural Language Processing) based Deep Learning
  • Sabarish B A ,
  • Arunkumar Chinnaswamy
Sabarish B A
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Arunkumar Chinnaswamy
Amrita School of Computing

Corresponding Author:[email protected]

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Abstract

The research is built upon a comprehensive compilation of user stories and their associated test cases, which have been carefully extracted from existing software projects in real?world settings. Each user story and test case are represented as a collection of unigrams by capturing the essential features and requirements of the respective functional components. By emphasizing the Three C’s - Card, conversation, and confirmation, user stories are crafted to be precise, comprehen?sible through teamwork, and are subjected to thorough testing. This strategy improves communication, reduces the risk of misinterpretation, and yields software that strictly meets user requirements