Quality Analysis of Software Applications using Software Reliability Growth Models and Deep Learning Models

Finding the faults in software is a very tedious task. Many companies are trying to develop high-quality which having no faults. It important analyze errors, faults, and bugs development. Software reliability growth models (SRGM's) used help industries create quality products. Quality metric that performance of product. The product errors or considered best SRGM also utilized based on programming language. Deep Learning (DL) sub-domain machine learning solve several complex issues accurate patterns from DL algorithm performs better integrating with approaches giving results fault detection. real-time datasets available approaches. performances various integrated analyzed by showing metrics.