Comprehensive Survey of different Machine Learning Algorithms used for Software Defect Prediction
V Gururaj, KR Umadi, M Kumar… - … on Decision Aid …, 2022 - ieeexplore.ieee.org
The software development life cycle is a long and complicated process. It consists of
analysis, design, development, testing and deployment. Defect prediction is the technique of …
analysis, design, development, testing and deployment. Defect prediction is the technique of …
[HTML][HTML] A novel framework based on the multi-label classification for dynamic selection of classifiers
J Elmi, M Eftekhari, A Mehrpooya… - International Journal of …, 2023 - Springer
Multi-classifier systems (MCSs) are some kind of predictive models that classify instances by
combining the output of an ensemble of classifiers given in a pool. With the aim of …
combining the output of an ensemble of classifiers given in a pool. With the aim of …
An Ensemble Model for Software Defect Prediction
Software testing is one of the important ways to ensure the quality of software. It is found that
testing cost more than 50% of overall project cost. Effective and efficient software testing …
testing cost more than 50% of overall project cost. Effective and efficient software testing …
Literature Review: A Comparative Study of Software Defect Prediction Techniques
At the latest, a lot of studies have been conducted to forecast software flaws and determine if
modules are defective or not, in order to build high-quality software at a low cost before …
modules are defective or not, in order to build high-quality software at a low cost before …
Software defects detection in explainable machine learning approach
MK Al-Isawi, H Abdulkader - … on Emerging Trends and Applications in …, 2023 - Springer
In the era of ubiquitous software systems, the complexity and urgency in software production
have often led to compromises in quality. Traditional testing methods are increasingly …
have often led to compromises in quality. Traditional testing methods are increasingly …