Data quality issues in software fault prediction: a systematic literature review
Software fault prediction (SFP) aims to improve software quality with a possible minimum
cost and time. Various machine learning models have been proposed in the past for …
cost and time. Various machine learning models have been proposed in the past for …
Software defect prediction based on enhanced metaheuristic feature selection optimization and a hybrid deep neural network
K Zhu, S Ying, N Zhang, D Zhu - Journal of Systems and Software, 2021 - Elsevier
Software defect prediction aims to identify the potential defects of new software modules in
advance by constructing an effective prediction model. However, the model performance is …
advance by constructing an effective prediction model. However, the model performance is …
Performance analysis of feature selection methods in software defect prediction: a search method approach
Software Defect Prediction (SDP) models are built using software metrics derived from
software systems. The quality of SDP models depends largely on the quality of software …
software systems. The quality of SDP models depends largely on the quality of software …
The impact of feature reduction techniques on defect prediction models
Defect prediction is an important task for preserving software quality. Most prior work on
defect prediction uses software features, such as the number of lines of code, to predict …
defect prediction uses software features, such as the number of lines of code, to predict …
A large-scale study of the impact of feature selection techniques on defect classification models
The performance of a defect classification model depends on the features that are used to
train it. Feature redundancy, correlation, and irrelevance can hinder the performance of a …
train it. Feature redundancy, correlation, and irrelevance can hinder the performance of a …
[HTML][HTML] Diabetic retinal fundus images: Preprocessing and feature extraction for early detection of diabetic retinopathy
The investigation of clinical reports suggested that more than ten percent patients with
diabetes have a high risk of eye issues. Diabetic Retinopathy (DR) is an eye ailment which …
diabetes have a high risk of eye issues. Diabetic Retinopathy (DR) is an eye ailment which …
The impact of feature selection techniques on effort‐aware defect prediction: An empirical study
Abstract Effort‐Aware Defect Prediction (EADP) methods sort software modules based on
the defect density and guide the testing team to inspect the modules with high defect density …
the defect density and guide the testing team to inspect the modules with high defect density …
Empirical evaluation of the performance of data sampling and feature selection techniques for software fault prediction
Abstract Context: The application of Software Fault Prediction (SFP) in the software
development life cycle to predict the faulty class at the early stage has piqued the interest of …
development life cycle to predict the faulty class at the early stage has piqued the interest of …
Impact of feature selection methods on the predictive performance of software defect prediction models: an extensive empirical study
Feature selection (FS) is a feasible solution for mitigating high dimensionality problem, and
many FS methods have been proposed in the context of software defect prediction (SDP) …
many FS methods have been proposed in the context of software defect prediction (SDP) …
Empirical analysis of rank aggregation-based multi-filter feature selection methods in software defect prediction
Selecting the most suitable filter method that will produce a subset of features with the best
performance remains an open problem that is known as filter rank selection problem. A …
performance remains an open problem that is known as filter rank selection problem. A …