Search-based wrapper feature selection methods in software defect prediction: an empirical analysis
High dimensionality is a data quality problem that negatively influences the predictive
capabilities of prediction models in software defect prediction (SDP). As a viable solution …
capabilities of prediction models in software defect prediction (SDP). As a viable solution …
[HTML][HTML] Software defect prediction using wrapper feature selection based on dynamic re-ranking strategy
Finding defects early in a software system is a crucial task, as it creates adequate time for
fixing such defects using available resources. Strategies such as symmetric testing have …
fixing such defects using available resources. Strategies such as symmetric testing have …
A Novel Rank Aggregation‐Based Hybrid Multifilter Wrapper Feature Selection Method in Software Defect Prediction
The high dimensionality of software metric features has long been noted as a data quality
problem that affects the performance of software defect prediction (SDP) models. This …
problem that affects the performance of software defect prediction (SDP) models. This …
[HTML][HTML] 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) …
[PDF][PDF] A hybrid multi-filter wrapper feature selection method for software defect predictors
Software Defect Prediction (SDP) is an approach used for identifying defect-prone software
modules or components. It helps software engineer to optimally, allocate limited resources to …
modules or components. It helps software engineer to optimally, allocate limited resources to …
Wrapper feature selection based heterogeneous classifiers for software defect prediction
A Ekundayo - Adeleke University Journal of …, 2019 - aujet.adelekeuniversity.edu.ng
Abstract The performance of Software Defect Prediction (SDP) models depends on the
quality of dataset used for training the models. The high dimensionality of software metric …
quality of dataset used for training the models. The high dimensionality of software metric …
Performance Analysis of Feature Selection Techniques in Software Defect Prediction using Machine Learning
Software Testing is an essential activity in the development process of a software product. A
defect-free software is the need of the hour. Identifying the defects as early as possible is …
defect-free software is the need of the hour. Identifying the defects as early as possible is …
[HTML][HTML] 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 …
[HTML][HTML] An adaptive rank aggregation-based ensemble multi-filter feature selection method in software defect prediction
Feature selection is known to be an applicable solution to address the problem of high
dimensionality in software defect prediction (SDP). However, choosing an appropriate filter …
dimensionality in software defect prediction (SDP). However, choosing an appropriate filter …
Analysis of feature selection methods in software defect prediction models
Improving software quality by proactively detecting potential defects during development is a
major goal of software engineering. Software defect prediction plays a central role in …
major goal of software engineering. Software defect prediction plays a central role in …