Software fault prediction using data mining, machine learning and deep learning techniques: A systematic literature review
Software fault/defect prediction assists software developers to identify faulty constructs, such
as modules or classes, early in the software development life cycle. There are data mining …
as modules or classes, early in the software development life cycle. There are data mining …
[HTML][HTML] Software defect prediction using supervised machine learning and ensemble techniques: a comparative study
A Alsaeedi, MZ Khan - Journal of Software Engineering and Applications, 2019 - scirp.org
An essential objective of software development is to locate and fix defects ahead of
schedule that could be expected under diverse circumstances. Many software development …
schedule that could be expected under diverse circumstances. Many software development …
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 …
A research landscape on software defect prediction
Software defect prediction is the process of identifying defective files and modules that need
rigorous testing. In the literature, several secondary studies including systematic reviews …
rigorous testing. In the literature, several secondary studies including systematic reviews …
Metaheuristic feature selection for software fault prediction
Achieving bug-free software is hard as most of the time there are hidden defects. Predicting
the rate of faultiness in software modules before commercializing is still a challenge to …
the rate of faultiness in software modules before commercializing is still a challenge to …
AI-based software defect prediction for trustworthy android apps
The present time in the industry is a time where Android Applications are in a wide range
with its widespread of the users also. With the increased use of Android applications, the …
with its widespread of the users also. With the increased use of Android applications, the …
[PDF][PDF] FSDP: Frequent Software Defects Prediction Based on Defect Correlation Learning for Quality Software Development.
SS Reddy, S Pabboju - International Journal of Intelligent Engineering & …, 2024 - inass.org
Software has become an essential and important part of every domain system. Developing
quality software is critical to maintaining a stable and secure system. Most of the existing …
quality software is critical to maintaining a stable and secure system. Most of the existing …
[PDF][PDF] Software Defect Prediction Analysis Using Machine Learning Techniques. Sustainability 2023, 15, 5517
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 …
基于知识图谱和自动机器学习的软件缺陷预测
李鹏宇， 江云松， 高猛， 滕俊元 - 空间控制技术与应用, 2021 - journal01.magtech.org.cn
不稳定和召回率低效的软件缺陷预测模型难以在行业领域应用, 为解决稳定和高效各项性能评价
指标的软件缺陷预测模型在工程实践应用的问题, 提出了一种基于知识图谱和自动化机器学习的 …
指标的软件缺陷预测模型在工程实践应用的问题, 提出了一种基于知识图谱和自动化机器学习的 …
Fuzzy cognitive maps for software fault prediction
Detection of faulty modules in the early stages of the software development life cycle is
crucial for the testing procedures. Several software metrics are collected during and end of …
crucial for the testing procedures. Several software metrics are collected during and end of …