Analysis of Machine Learning Approaches for Software Development Estimation; Analysis of the Evolution of Privacy Methods to be Compatible in Agile Environments

Thrishna Sonnakul
The shift to Agile methodology in software development has been very rapid the past couple of years. As an iterative way to develop software in which each step (Requirements, Plan, Design, Develop, Test, Release) allows for changes to easily take place compared to alternative method of waterfall development that restricted change mid-process. A novel aspect to this methodology is the development cycle being repeated in formats of sprints, so planning, developing, and testing takes place...
This data repository is not currently reporting usage information. For information on how your repository can submit usage information, please see our documentation.