Exploring Research Opportunities to Apply Data Mining Techniques in Software Engineering Lifecycle

J, Anitha Gracy and S, Parthasarathy and R, Bagavathilaksmi (2023) Exploring Research Opportunities to Apply Data Mining Techniques in Software Engineering Lifecycle. In: 2023 First International Conference on Advances in Electrical, Electronics and Computational Intelligence (ICAEECI), Tiruchengode, India.

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Exploring Research Opportunities to Apply Data Mining Techniques in Software Engineering Lifecycle _ IEEE Conference Publication _ IEEE Xplore.pdf

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Abstract

This Software engineering (SE) is the core research area of the software industry, and numerous algorithms and frameworks are proposed every day. Software Engineering is the discipline that keeps up with recent developments in fields and techniques such as data mining, machine learning, natural language processing, and artificial intelligence. It is difficult to manage such a massive amount of data in a software engineering repository if data processing and big data analytics are not available. This paper provides an in-depth study of data mining techniques that to improve the efficiency of the software development lifecycle. The study emphasizes the practical applications and discoveries made by text mining, clustering, classification, and other methods.

Item Type: Conference or Workshop Item (Paper)
Subjects: Computer Applications > Data Structure
Divisions: Computer Applications
Depositing User: Mr IR Admin
Date Deposited: 21 Sep 2024 10:13
Last Modified: 21 Sep 2024 10:13
URI: https://ir.vistas.ac.in/id/eprint/6833

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