Seybold Report ISSN: 1533-9211

Abstract

A STUDY OF BEST PRACTICES OF MACHINE LEARNING ALGORITHM IN SOFTWARE DEVELOPMENT PROCESS


1Dipali Brijpalsingh Tawar , 2Dr. Deepika Pathak
1Research Scholar, Dept. of Computer Application, Dr. A.P.J Abdul Kalam University, Indore (M.P), India
2Associate Professor, Dept. of Computer Application, Dr. A.P.J Abdul Kalam University, Indore (M.P), India
1dipali.tawar@gmail.com, 2deepikapathak23@gmail.com


Vol 17, No 10 ( 2022 )   |  DOI: 10.5281/zenodo.7157445   |   Licensing: CC 4.0   |   Pg no:1690-1700   |   Published on: 07-10-2022



Abstract
The paper gives a data about software performance. The software performance is dissected and issues are investigated. Mathematical and engineering approaches and models for addressing performance issues are featured. The approaches to expand software performance are clarified. Significance of considering various factors here is accentuated. Performance of workers in undertakings is looked at and a calculation is produced for its enhancement. The created calculation will build the performance of the undertaking software. Investigations are led with the created calculation and the nearness of the performance of the undertakings is distinguished and delineated in the bar outline. A rundown of the best software to improve the performance is aggregated and broke down. The issue of software optimization is featured. Data on the necessities to the software optimization projects is given. The article likewise presents the approaches to build the performance of software engineers and propose strong suggestions here. A calculated model of software performance is created.


Keywords:
Software, Productivity, Optimization, Increase Productivity, Requirements.



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