RESEARCH PROSPECTS FOR APPLYING DATA MINING METHODS IN SOFTWARE ENGINEERING LIFECYCLE

International Journal of Computer Science (IJCS) Published by SK Research Group of Companies (SKRGC)

Abstract

Software industry is a field of study humanized in the software engineering. Every day, people come up with new ways to do things and new frameworks. For software engineering to continue, it must be able to adapt and work with things. Software engineering uses natural language processing, data analysis, machine learning, and intelligence. Since people want software, we need to conduct a lot of research on software development data. It's really challenging to handle a large quantity of data without being able to process it and look at the amount of data. Data mining methods are used to enhance the creation of software. This study examines the way of text mining, clustering, and classification techniques are used. This shows what these data mining methods can do help enhance the life cycle of software development. Data mining methods include important for improving the efficiency of software development and effective. The paper talks about the uses and results of classification, clustering, and text mining methods, in data mining.

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Keywords

Software engineering, text mining, SDLC, data mining, clustering, and classification.