Software quality measurement is crucial for developing efficient and reliable software while reducing costs. This article discusses factors affecting software quality, different quality models, techniques used, important metrics, and commonly used datasets. The study suggests future research should focus on developing new software quality measurement approaches using machine learning techniques like deep learning and ensemble methods.