Consequences of Dependent and Independent Variables based on Acceptance Test Suite Metric Using Test Driven Development Approach

Consequences of Dependent and Independent Variables based on Acceptance Test Suite Metric Using Test Driven Development Approach

연구 분야: Software Development

학회: 2020 IEEE Conference on Computer Applications(ICCA)

The fundamental of software development was Test-Driven Development but the individual tests must be carried out previously the production code. To research, the consequence of test-driven development on product code quality and developer productivity was the destination of this paper. This system builds the acceptance test suite metric 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 external quality over function of the number tests, and slightly decrease the effect of developer productivity over function of the number of tests. 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 affects to less defects and fewer debugging period which correct code can be certified by writing tests first and thus serving the developer get a finer understanding of the software requirements.