Software reliability growth models are used to estimate the number of remaining faults, failure rate, and reliability of software. Testing is crucial for ensuring software quality, but testing for a long time may not guarantee bug-free software due to imperfect debugging. Imperfect debugging can lead to error generation, where new faults are introduced while old ones are being fixed. The researchers developed a software analyzers tool using a software reliability growth model to improve software quality by addressing imperfect debugging and error generation. The model was validated and compared with other existing models using real failure data.