Software Defect Prediction using ANN Algorithm
The software industry is rapidly evolving due to increasing demand and technology.
Software created by humans can contain a number of errors which are known as defects …
Software created by humans can contain a number of errors which are known as defects …
A Review for Software Defect Prediction Using Machine Learning Algorithms
EK Ali, MM Eissa, AF Omara - World Conference on Internet of Things …, 2023 - Springer
One of the most important and expensive stages of the software development lifecycle is
software defect prediction. It is considered to be a key component of the software …
software defect prediction. It is considered to be a key component of the software …
A Systematic Approach for Enhancing Software Defect Prediction Using Machine Learning
SM Rifat, AU Bhuyain, MS Hossain… - … Conference on Next …, 2023 - ieeexplore.ieee.org
In the modern world of software development, ensuring reliability and performance is of
paramount importance. However, despite the best efforts from the developers, software …
paramount importance. However, despite the best efforts from the developers, software …
Software defect prediction using artificial neural networks: A systematic literature review
The demand for automated online software systems is increasing day by day, which
triggered the need for high‐quality and maintainable softwares at lower cost. Software defect …
triggered the need for high‐quality and maintainable softwares at lower cost. Software defect …
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 …
Software defect prediction using deep learning
In the process of software development, a defect is often present but hard to detect if the
software in development is complex. This could be a problem for customers or the end user …
software in development is complex. This could be a problem for customers or the end user …
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 …
A Review on Software Defect Prediction Using Machine Learning
Software plays an important role in many of the systems and devices that make up our
modern societies. In order to provide their customers with software of a higher quality in a …
modern societies. In order to provide their customers with software of a higher quality in a …
Software Fault Prediction Using Deep Neural Networks Check for updates
YM Ramya, K Deepthi, A Vamsai, AJ Sai… - Machine Vision and …, 2023 - books.google.com
In the software engineering discipline, many prediction methods are employed including
predictive cost prediction, prediction of consistency, provision of safety, predictions of reuse …
predictive cost prediction, prediction of consistency, provision of safety, predictions of reuse …
Neural network based software defect prediction using genetic algorithm and particle swarm optimization
SI Ayon - 2019 1st International Conference on Advances in …, 2019 - ieeexplore.ieee.org
In the arena of software engineering, software defects prediction is one of the most attractive
research topics. Here the main task is to predict if there is any bug in the software or not. For …
research topics. Here the main task is to predict if there is any bug in the software or not. For …