Any software program or set of applications that assist commercial domains such Aviation, manufacturing, health care, insurance, and so forth. Software quality is determined by how well the program adheres to its design and how well it is constructed. Several of the factors that we are Correctness, Product quality, Scalability, Completeness, and Bug-Free are the criteria for evaluating software quality. But because every organization has a different set of quality standards, it is preferable to Utilize software metrics to gauge the product's quality. Software defect predictors can use attributes that we collected from source code using software metrics as an input. Errors introduced by stakeholders and software developers are known as software defects. Ultimately, this study revealed how machine learning may be applied to software defects, a finding gleaned from earlier research projects