2022
DOI: 10.14569/ijacsa.2022.0130893
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A New Learning to Rank Approach for Software Defect Prediction

Abstract: Software defect prediction is one of the most active research fields in software development. The outcome of defect prediction models provides a list of the most likely defect-prone modules that need a huge effort from quality assurance teams. It can also help project managers to effectively allocate limited resources to validating software products and invest more effort in defect-prone modules. As the size of software projects grows, error prediction models can play an important role in assisting developers … Show more

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