Hybrid approach for software defect prediction using machine learning with optimization technique
C Manjula, L Florence - International Journal of Computer …, 2018 - publications.waset.org
Software technology is developing rapidly which leads to the growth of various industries.
Now-a-days, software-based applications have been adopted widely for business purposes …
Now-a-days, software-based applications have been adopted widely for business purposes …
[HTML][HTML] Software Defect Prediction Analysis Using Machine Learning Techniques
There is always a desire for defect-free software in order to maintain software quality for
customer satisfaction and to save testing expenses. As a result, we examined various known …
customer satisfaction and to save testing expenses. As a result, we examined various known …
Analysis of feature selection methods in software defect prediction models
Improving software quality by proactively detecting potential defects during development is a
major goal of software engineering. Software defect prediction plays a central role in …
major goal of software engineering. Software defect prediction plays a central role in …
Software defect prediction using tree-based ensembles
H Aljamaan, A Alazba - Proceedings of the 16th ACM international …, 2020 - dl.acm.org
Software defect prediction is an active research area in software engineering. Accurate
prediction of software defects assists software engineers in guiding software quality …
prediction of software defects assists software engineers in guiding software quality …
[PDF][PDF] Performance analysis of selected clustering techniques for software defects prediction
Classification algorithms that help to predict software defects play a major role in the
software engineering process. This study investigated the application and performance of …
software engineering process. This study investigated the application and performance of …
[HTML][HTML] Software defect prediction: do different classifiers find the same defects?
During the last 10 years, hundreds of different defect prediction models have been
published. The performance of the classifiers used in these models is reported to be similar …
published. The performance of the classifiers used in these models is reported to be similar …
Genetic feature selection for software defect prediction
Recently, software defect prediction is an important research topic in the software
engineering field. The accurate prediction of defect prone software modules can help the …
engineering field. The accurate prediction of defect prone software modules can help the …
Benchmarking classification models for software defect prediction: A proposed framework and novel findings
Software defect prediction strives to improve software quality and testing efficiency by
constructing predictive classification models from code attributes to enable a timely …
constructing predictive classification models from code attributes to enable a timely …
Ensemble machine learning paradigms in software defect prediction
Predicting faults in software aims to detect defects before the testing phase, allowing for
better resource allocation and high-quality software development, which is a requisite for …
better resource allocation and high-quality software development, which is a requisite for …
[HTML][HTML] Enhancing software defect prediction: a framework with improved feature selection and ensemble machine learning
M Ali, T Mazhar, A Al-Rasheed, T Shahzad… - PeerJ Computer …, 2024 - peerj.com
Effective software defect prediction is a crucial aspect of software quality assurance,
enabling the identification of defective modules before the testing phase. This study aims to …
enabling the identification of defective modules before the testing phase. This study aims to …