Genetic algorithm secure procedures algorithm to manage data integrity of test case prioritization methodology

The focus of present research paper is to manage data integrity and trustworthiness of issues involved in software testing phase of software development life cycle. Many times, it seems that, data integration left behind the software testing phase and it is directly focused at software deployment or delivery time. To avoid issues due to lack of data integration, we developed algorithm which can track integration of test case prioritization along with trustworthiness of test case execution. This paper demonstrates how software testing can be efficient with management of data integrity factor to avoid major security issues. One of the main advantages of our approach is that domain specific semantics can be integrated with the data quality test cases prioritization, thus being able to discover test feed data quality problems beyond conventional quality measures.