Software defect prediction through neural network and feature selections
MS Alkhasawneh - Applied Computational Intelligence and Soft …, 2022 - Wiley Online Library
Software failure such as software defect causes billion of dollar loss every year. Software
failure also affects billion of people worldwide. Inadequate software testing can cause …
failure also affects billion of people worldwide. Inadequate software testing can cause …
Software defect prediction using an intelligent ensemble-based model
M Ali, T Mazhar, Y Arif, S Al-Otaibi, YY Ghadi… - IEEE …, 2024 - ieeexplore.ieee.org
Software defect prediction plays a crucial role in enhancing software quality while achieving
cost savings in testing. Its primary objective is to identify and send only defective modules to …
cost savings in testing. Its primary objective is to identify and send only defective modules to …
[PDF][PDF] A Framework for Software Defect Prediction Using Feature Selection and Ensemble Learning Techniques.
Testing is one of the crucial activities of software development life cycle which ensures the
delivery of high quality product. As software testing consumes significant amount of …
delivery of high quality product. As software testing consumes significant amount of …
A feature selection-based K-NN model for fast software defect prediction
Abstract Software Defect Prediction (SDP) is an advanced technological method of
predicting software defects in the software development life cycle. Various research works …
predicting software defects in the software development life cycle. Various research works …
[PDF][PDF] Performance analysis of resampling techniques on class imbalance issue in software defect prediction
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 …
quality of end product at lower cost. Machine learning techniques have been proved to be …
[HTML][HTML] Depth linear discrimination-oriented feature selection method based on adaptive sine cosine algorithm for software defect prediction
Abstract Software Defect Prediction (SDP) plays a vital role in the software development life
cycle as it helps identify and fix software defects. However, predicting software defects with …
cycle as it helps identify and fix software defects. However, predicting software defects with …
[PDF][PDF] Prediction of defect prone software modules using MLP based ensemble techniques
Prediction of defect prone software modules is now considered as an important activity of
software quality assurance. This approach uses the software metrics to predict whether the …
software quality assurance. This approach uses the software metrics to predict whether the …
Extraction of prediction rules of code smell using decision tree algorithm
PS Yadav, S Dewangan, RS Rao - 2021 10th international …, 2021 - ieeexplore.ieee.org
Code Smell is a set of information of a source code that indicates any serious problem in the
software. To detect the code smell prediction rule, we have applied a Decision tree …
software. To detect the code smell prediction rule, we have applied a Decision tree …
Prediction of COVID-19 using ensemble based machine learning approach
A Akhtar, N Abbas - International Journal of Computational and Innovative …, 2022 - ijcis.com
The viral infection of COVID-19 has been wreaking havoc on earth since December 2019. It
has affected every aspect of human life. This dangerous disease took millions of lives and …
has affected every aspect of human life. This dangerous disease took millions of lives and …
[HTML][HTML] FEDRak: Federated Learning-Based Symmetric Code Statement Ranking Model for Software Fault Forecasting
A Alhumam - Symmetry, 2023 - mdpi.com
Software Fault Forecasting (SFF) pertains to timely identifying sections in software projects
that are prone to faults and may result in significant development expenses. Deep learning …
that are prone to faults and may result in significant development expenses. Deep learning …