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<doi_batch_id>-5171ffc0182b6af927f-4ed5</doi_batch_id>
<timestamp>20221001064735638</timestamp>
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  <depositor_name>beie:beie</depositor_name> 
  <email_address>director@blueeyesintelligence.org</email_address>
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<registrant>WEB-FORM</registrant> 
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<journal_metadata>   <full_title>International Journal of Innovative Technology and Exploring Engineering</full_title>   <abbrev_title>IJITEE</abbrev_title>   <issn media_type='electronic'>22783075</issn>   <doi_data>     <doi>10.35940/ijitee</doi>     <resource>https://www.ijitee.org/</resource>   </doi_data> </journal_metadata> <journal_issue>  <publication_date media_type='online'>     <month>10</month>     <day>30</day>     <year>2022</year>   </publication_date>   <journal_volume>     <volume>11</volume>   </journal_volume>   <issue>11</issue> </journal_issue> <!-- ============== --> <journal_article publication_type='full_text'>   <titles>     <title>Requirement Gathering and Classification: An Engineering Perspective</title> </titles>   <contributors>      <organization sequence='first' contributor_role='author'>Associate Professor, Department of  Computer Science and Engineering, Indur Institute of Engineering and Technology, Ponnal (Telengana) India</organization>    <person_name sequence='first' contributor_role='author'>      <given_name>Thakur Ritesh Bankat</given_name>      <surname>Singh</surname>    </person_name>    <person_name sequence='additional' contributor_role='author'>       <given_name>Dr. S.V.A.V.</given_name>       <surname>Prasad</surname>     </person_name>     <organization sequence='additional' contributor_role='author'>Professor, Dean (CA) and Director, Lingaya’s Vidyapeeth, Faridabad (Haryana), India. </organization>     <person_name sequence='additional' contributor_role='author'>       <given_name>Dr. J. Malla Reddy Jogannagari Malla</given_name>       <surname>Reddy</surname>     </person_name>     <organization sequence='additional' contributor_role='author'>Professor, Department of Computer Science &amp; Engineering, Mahaveer Institute of Science &amp; Technology, Hyderabad (Telangana), India.</organization>     <person_name sequence='additional' contributor_role='author'>       <given_name>Dr. Tapsi</given_name>       <surname>Nagpal</surname>     </person_name>     <organization sequence='additional' contributor_role='author'>Associate Professor, Department of Computer Science and Engineering, Thapar Institute of Engineering and technology, Patiala (Punjab), India.</organization>   </contributors>     <jats:abstract xml:lang='en'>         <jats:p>Gathering the requirement is the vital steps for every successful quality software. Requirement Engineering is the key role for gathering the requirement. The good quality software development require useful data requirement. In recent Software Engineering achieve the data centric with the involvement of big data, artificial intelligence (AI) and machine learning. The most of data gathered from different sources with the evolution of technology, social media and other sources. There are many factors while gathering the requirement to produce the product with good quality. This Paper highlights and extends the research scope of existing requirement engineering to meet the new challenges of requirement clusterization and increase the productivity of product in regards to customer requirement. There is need of applying classification and clustering technique to form requirement clusterization.</jats:p>     </jats:abstract>  <publication_date media_type='online'>     <month>10</month>     <day>30</day>     <year>2022</year>   </publication_date>   <pages>     <first_page>25</first_page>     <last_page>28</last_page>   </pages>   <crossmark>     <crossmark_version>CC BY-NC-ND 4.0</crossmark_version>     <crossmark_policy>10.35940/BEIESP.CrossMarkPolicy</crossmark_policy>     <crossmark_domains>       <crossmark_domain>          <domain>www.ijitee.org</domain>       </crossmark_domain>     </crossmark_domains>     <crossmark_domain_exclusive>true</crossmark_domain_exclusive>   </crossmark>   <doi_data>     <doi>10.35940/ijitee.K9285.10111122</doi>     <resource>https://www.ijitee.org/portfolio-item/k928510111122/</resource>   </doi_data> </journal_article>
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