IMPACT OF SOFTWARE PROCESS METRICS ON DEFECT DETECTION EFFICIENCY: A COMPARATIVE STUDY WITHIN ADVANCED SOFTWARE QUALITY ASSURANCE FRAMEWORKS

Abstract

The issue of software defects has been a major concern in the contemporary software development and has greatly impacted the reliability of the product, cost of development as well as delivery timelines. One of the main goals of Software Quality Assurance (SQA) practices is therefore effective defect detection. Software process metrics has become one of the useful tools that can be used to track the development activities and enhance quality results within recent years. The paper examines how software process metrics can influence the efficiency of defect detection by taking a combined approach to the advanced SQA and software process management practices. The research methodology includes a comparison, which is premised on a systematic study and review of empirical studies published in the period between 2015 and 2025. Various types of process metrics such as change-based metrics, effort and time metrics, defect flow metrics, and process compliance metrics are assessed in the study in various environments of the development. The findings suggest that change-based and defect flow metrics are the most influential ones in terms of the early and effective detection of defects, whereas effort and compliance metrics indirectly support the approach with the enhanced process control and resource management. The results indicate the significance of taking a more comprehensive, measurement-based, SQA that establishes process metrics against quality organizational goals. The study offers effective ideas that can be used by quality managers and practitioners to improve efficiency of defect detection in the process of improving maturity of software processes.