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 …
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) …
Choosing software metrics for defect prediction: an investigation on feature selection techniques
The selection of software metrics for building software quality prediction models is a search‐
based software engineering problem. An exhaustive search for such metrics is usually not …
based software engineering problem. An exhaustive search for such metrics is usually not …
[PDF][PDF] How many software metrics should be selected for defect prediction?
A software practitioner is interested in the solution to “for a given project, what is the
minimum number of software metrics that should be considered for building an effective …
minimum number of software metrics that should be considered for building an effective …
A framework for software defect prediction and metric selection
Automated software defect prediction is an important and fundamental activity in the domain
of software development. However, modern software systems are inherently large and …
of software development. However, modern software systems are inherently large and …
Empirical investigation of hyperparameter optimization for software defect count prediction
M Nevendra, P Singh - Expert Systems with Applications, 2022 - Elsevier
Prior identification of defects in software modules can help testers to allocate limited
resources efficiently. Defect prediction techniques are helpful for this situation because they …
resources efficiently. Defect prediction techniques are helpful for this situation because they …
An empirical study on pareto based multi-objective feature selection for software defect prediction
The performance of software defect prediction (SDP) models depend on the quality of
considered software features. Redundant features and irrelevant features may reduce the …
considered software features. Redundant features and irrelevant features may reduce the …
The impact of automated feature selection techniques on the interpretation of defect models
The interpretation of defect models heavily relies on software metrics that are used to
construct them. Prior work often uses feature selection techniques to remove metrics that are …
construct them. Prior work often uses feature selection techniques to remove metrics that are …
[PDF][PDF] Metaheuristic optimization based feature selection for software defect prediction.
Software defect prediction has been an important research topic in the software engineering
field, especially to solve the inefficiency and ineffectiveness of existing industrial approach of …
field, especially to solve the inefficiency and ineffectiveness of existing industrial approach of …
A comparative study of iterative and non-iterative feature selection techniques for software defect prediction
TM Khoshgoftaar, K Gao, A Napolitano… - Information Systems …, 2014 - Springer
Two important problems which can affect the performance of classification models are high-
dimensionality (an overabundance of independent features in the dataset) and imbalanced …
dimensionality (an overabundance of independent features in the dataset) and imbalanced …