Software Quality Assurance Development Using Bayesian Graphical Model and Safe Growth Model

Abstract

Software quality assurance is a planned and systematic approach to ensure that software processes and products confirms to the established standards, processes, and procedures. The goals of software quality assurance are to improve software quality by appropriately monitoring both software and the development process to ensure full compliance with the established standards and procedures. There are several models for software quality assurance, such as the ISO/IEC 90003, and the capability maturity model integration. As the software in today’s systems grows larger, it has more defects, and these defects adversely affect the safety, security, and reliability of the systems. Software engineering is the application of a systematic, disciplined, quantifiable approach to the development, operation, and maintenance of software. Quality is conformance to product requirements and should be free. This research concerns the role of software Quality. Software reliability is an important fact of software quality. It is the probability of failure-free operation of a computer program in a specified environment for a specified time. In software reliability modeling, the parameters of the model are typically estimated from the test data of the corresponding component. This research describes a new approach to the problem of software testing. The approach is based on Bayesian graphical models and presents formal mechanisms for the logical structuring of the software testing problem, the probabilistic and statistical treatment of the uncertainties to be addressed, the test design and analysis process, and the incorporation and implication of test results.