IMPLEMENTION DATA MINING IN SOFTWARE ENGINEERING

Authors

  • Himangi Assistant professor, Dept of Computer science and engineering Guru Jambheswar university of science and technology Hisar

Keywords:

Software Engineering, Data Mining, Hidden Patterns, Software Design

Abstract

When it comes to software development, software companies generate enormous amounts of data. From the requirements phase all the way through to software maintenance, a new collection of data is generated at every step. Efforts are made to gather and keep data created in software repositories in order to improve the quality of the software. Software repositories include a vast amount of data, which is mined using different Data Mining methods to identify new patterns or highlights in the data. Study in this field has recently been a favourite multidisciplinary research subject for Software Engineering and Data Mining researchers. An attempt is made in this study to look at the numerous applications of data mining in software engineering, the various forms of software engineering data that may be mined, as well as different data mining techniques that are accessible and have been utilised by researchers to tackle their relevant issues. It's now time to narrow down which software engineering topic is grabbing academics' interest the most, based on this categorization.

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Published

30-09-2022

How to Cite

Himangi. (2022). IMPLEMENTION DATA MINING IN SOFTWARE ENGINEERING. International Journal for Research Publication and Seminar, 13(4), 1–10. Retrieved from https://jrps.shodhsagar.com/index.php/j/article/view/278

Issue

Vol. 13 No. 4 (2022): Vol 13 | Issue 4 | Jul - Sep 2022

Section

Original Research Article

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