Impact of Dependent and Independent Variables based on Ordinary Least Squares Method Using Test-Driven Development Approach

Abstract

Test-driven development (TDD) is a foundation for software evolution but unit tests must be performed before production code. To enhance both external code quality and programmers’ productivity can be insisted on the exponents of TDD. The consequence of test-driven development on product quality and programmer productivity is analyzed the main purpose of this paper. This system builds the ordinary least squares method of regression analysis to assess the impact of the process on dependent variables and independent variables. This paper’s results observed the positive effect of developer productivity, and slightly decrease the effect of external quality. TDD can affect advance software products’ quality, also mend programmers’ productivity. TDD undertook to help the delivery of high-quality products, both operational (fewer bugs) and technical perspective (cleaner code) while improving developers’ productivity. TDD leads to less defects and fewer debugging period which correct code can be assured by writing tests first and thus serving the developer get a finer understanding of the software requirements. When this proposed system evaluates the ordinary least squares of regression analysis based on a fixed time-frame, the result of external code quality is fewer reduced, and the result of developer productivity is progressed.