Software Testing and Quality Assurance on Sampling Inspection Through Statistical Learning Theory
In this paper, an engineering statistical model is proposed for the prediction of control and assurance in software engineering. This paper attempt statistical learning theory is to studies in a framework the properties of learning theory based on software engineering in quality testing using acceptance sampling statistical quality control and software testing and quality assurance on sampling inspection through learning theory. Learning theory provides the theoretical basis for many of today's learning algorithms and is arguably one of the most beautifully developed branches of statistical sciences in general. Providing the basis of new learning algorithms however was not the only motivation for developing statistical learning theory.