Comparative results of dependent and independent variables focused on regression analysis using test-driven development

Abstract

Test-Driven Development is a software engineering technique and should be tested previous the code, which make sure to read the unit test. The goal of this paper is to examine product quality and programmer productivity on the number of tests for the consequence of test-driven development. This system builds the acceptance test suite metric and the ordinary least squares method of regression analysis to assess the impact of the process on dependent variables and independent variables. The results of this paper are that if developer productivity is the actual effect, external code quality will be fewer decreased and external code quality is the actual effect if developer productivity will be fewer reduced. TDD responds to assist the delivery of high-quality products both operational and technical perspective while enhancing developers' productivity. TDD leads to less defects and fewer debugging period which actual code can be assured by writing tests first and thus serving the developer get a finer understanding of the software requirements. This proposed system evaluates the ordinary least squares and the acceptance test suite metric of regression analysis based on a fixed time-frame.