What is it about?
This paper is about detection of concept drift in software defect datasets while applying machine learning methods to early predict the regions of defects in software defct prediction. It also provides a solution to handle the detected drift in software defct data.
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Why is it important?
We applied a Paired Learner based approach for concept drift detection and adaptation in SDP. It handles the sudden and gradual drifts in the software defct data.
Perspectives
This article will help researchers working in the domains of SDP, Concept Drift, and Software Quality Assurance
Er Arvind Kumar Gangwar
Indian Institute of Technology Roorkee
Read the Original
This page is a summary of: A Paired Learner-Based Approach for Concept Drift Detection and Adaptation in Software Defect Prediction, Applied Sciences, July 2021, MDPI AG,
DOI: 10.3390/app11146663.
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