Measure the Software Quality based on Grasshopper Optimization Algorithm

Abstract

Software quality is very essential function from development during the early life of software engineering. Software Quality helps to detect errors and potential errors during initial stage of design and software development process. In this paper, Grasshopper Optimization Algorithm (GOA) is used to improve software quality. Where multiple quality measures were used to calculate the quality standards that were used in testing the approved software. As software testing focuses on software defect. In addition this paper presents GOA to extract the best features of extraction to testing and evaluation of a set of software applications. The paper depended on NASA standards data. The result and experiment show that improved performance quality for all classification methods applied in the research grasshopper optimization algorithm based on feature selection and bagging for Software defect prediction.