Software defect prediction with Bayesian approaches
MJ Hernández-Molinos, AJ Sánchez-García… - Mathematics, 2023 - mdpi.com
Software defect prediction is an important area in software engineering because it helps
developers identify and fix problems before they become costly and hard-to-fix bugs. Early …
developers identify and fix problems before they become costly and hard-to-fix bugs. Early …
Software defect prediction approach based on a diversity ensemble combined with neural network
J Chen, J Xu, S Cai, X Wang… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
There is a severe class imbalance problem in defect datasets, with nondefective data
dominating the distribution, making it easy to generate inaccurate software defect prediction …
dominating the distribution, making it easy to generate inaccurate software defect prediction …
Classification Algorithms for Software Defect Prediction: A Systematic Literature Review
MJ Hemández-Molinos… - 2021 9th …, 2021 - ieeexplore.ieee.org
Within Software Engineering, it is essential to build quality software. An obstacle to the after
mentioned are the defects that can be found in any phase of software development. That is …
mentioned are the defects that can be found in any phase of software development. That is …
Interpretable Software Defect Prediction from Project Effort and Static Code Metrics
Software defect prediction models enable test managers to predict defect-prone modules
and assist with delivering quality products. A test manager would be willing to identify the …
and assist with delivering quality products. A test manager would be willing to identify the …
Improving Intelligence Metrics using Frequency Domain Convolutions for Improving Bug Prediction
A Mishra, A Sharma - … (Formerly Recent Patents on Electrical & …, 2023 - ingentaconnect.com
Background: The novelty of the work lies in the formulation of these frequency-based
generators, which reflects the lowest level of information loss in the intermediate …
generators, which reflects the lowest level of information loss in the intermediate …
Software bug prediction using machine learning on jm1 dataset
NM Shailee, A Alam, T Ahmed… - … on Advances in …, 2024 - ieeexplore.ieee.org
Ensuring the quality of software systems is essential for effective and efficient usage in
complex software development procedures. A vital component of the whole procedure is the …
complex software development procedures. A vital component of the whole procedure is the …
Enhancing Software Reliability Through Machine Learning: Prediction Through Evaluation Metrics
S Shaikh, S Ghosh - 2024 IEEE International Conference on …, 2024 - ieeexplore.ieee.org
Predicting and managing software faults is crucial in modern development, demanding
costeffective and dependable strategies. Traditional approaches based on historical data or …
costeffective and dependable strategies. Traditional approaches based on historical data or …
Software defect prediction using ROS-KPCA stacked generalization model
Software quality assurance is an area that deals with software defect prediction also.
Identifying and eliminating defects is a crucial task that helps organizations deliver quality …
Identifying and eliminating defects is a crucial task that helps organizations deliver quality …
Machine Learning Approaches for Software Fault Diagnosis: Evaluating Decision Tree and KNN Models
SK Gunda - 2024 Global Conference on Communications and …, 2024 - ieeexplore.ieee.org
This research study explores the predictive modeling of software errors by employing
machine learning techniques, using the PC1 dataset extracted from PROMISE Software …
machine learning techniques, using the PC1 dataset extracted from PROMISE Software …
Predicting Software Defects Using Bayesian Approaches
S King - Infotech Journal Scientific and Academic, 2021 - infotechjournal.org
In the realm of software engineering, the anticipation of software flaws holds significant
importance as it enables developers to pinpoint and rectify issues before they escalate into …
importance as it enables developers to pinpoint and rectify issues before they escalate into …