A Statistical Experimentation Approach for Software Quality Management and Defect Evaluations

Abstract

Software development and metrics areas metrics lack information concerning metrics on what is applicable and what is actually practiced. In this work, the goal is to research software metrics about the source code to direct software quality measurement. Assessment of formulations is prearranged from two eras: first, when focus was on metrics based on complexity of the code and, second, when the center was on metrics based on object-oriented systems. The proposed technique for code analytics based on re-enactment designs and simulation patterns investigating deep code evaluation with the analytics of the respective performance. These 2performances used statistical simulation and are capable doing better for predictive analytics after multiple simulation attempts. To improve the software quality by one-fourth of the time taken, work is done to minimize the time taken to achieve accuracy compared with classical methods.