Predicting the defects at early stage of software development life cycle can improve the
quality of end product at lower cost. Machine learning techniques have been proved to be …

Software defect prediction is a crucial software project management activity to enhance the
software quality. It aids the development team to forecast about which modules need extra …

Prior identification of defects in software modules can help testers to allocate limited
resources efficiently. Defect prediction techniques are helpful for this situation because they …

Software defect prediction is aimed to find potential defects based on historical data and
software features. Software features can reflect the characteristics of software modules …

Software defect predictors are useful to maintain the high quality of software products
effectively. The early prediction of defective software modules can help the software …

Software defect prediction (SDP) plays a vital role in enhancing the quality of software
projects and reducing maintenance-based risks through the ability to detect defective …

Defect prediction in software projects plays a crucial role to reduce quality-based risk and
increase the capability of detecting faulty program modules. Hence, classification …

Software defect prediction is the process of developing predictive models that helps in the
early identification of defect-prone modules based on software metrics and defect data. It …

Software defect prediction is a promising approach aiming to improve software quality and
testing efficiency by providing timely identification of defect-prone software modules before …

Early prediction of fault-prone modules in software development is desirable to ensure the
high-quality end product. It highlights the modules which are susceptible to faults and incur …