Requirement Gathering and Classification: An Engineering Perspective
Thakur Ritesh Bankat Singh1, S.V.A.V. Prasad2, Malla Reddy Jogannagari3, Tapsi Nagpal4

1Thakur Ritesh Bankat Singh, Associate Professor, Department of Computer Science and Engineering, Indur Institute of Engineering and Technology, Ponnal (Telengana) India.
2Dr. S.V.A.V. Prasad, Professor, Dean ( CA) and Director, Lingaya’s Vidyapeeth, Faridabad (Haryana), India.
3Dr. J. Malla Reddy Jogannagari Malla Reddy, Professor, Department of Computer Science & Engineering, Mahaveer Institute of Science & Technology, Hyderabad (Telangana), India.
4Dr. Tapsi Nagpal, Associate Professor, Department of Computer Science and Engineering, Thapar Institute of Engineering and technology, Patiala (Punjab), India.
Manuscript received on 12 September 2022 | Revised Manuscript received on 28 September 2022 | Manuscript Accepted on 15 October 2022 | Manuscript published on 30 October 2022 | PP: 25-28 | Volume-11 Issue-11, October 2022 | Retrieval Number: 100.1/ijitee.K928510111122 | DOI: 10.35940/ijitee.K9285.10111122
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Abstract: 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. 
Keywords: Requirement Analysis, Classification, Clustering, Requirement Engineering, Requirement Elicitation.
Scope of the Article: Clustering