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) …

Class imbalance is a prevalent problem in machine learning which affects the prediction
performance of classification algorithms. Software Defect Prediction (SDP) is no exception to …

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 …

High dimensionality and class imbalance are latent data quality problems that have a
negative effect on the predictive capabilities of prediction models in software defect …

With the variety of different filter methods, selecting the most appropriate filter method which
gives the best performance is a difficult task. Filter rank selection and stability problems …

Production planners today must simultaneously face with the time and quality demands of
various goods externally and meet limited capacity internally. This study presents a two …

Abstract Software Project Scheduling Problem is one of the most crucial issues in software
development because it includes resources planning; cost estimates, staffing and cost …

Software development project requires proper planning to mitigate risk and uncertainty.
Overtime planning within software project management has been receiving attention …

Accurate cost prediction is crucial for efficient project management due to the potential for
delays and budget over runs. The present research presents a novel method for accurately …

Many studies have been conducted to explore the influence of feature selection (FS)
techniques on software defect prediction (SDP) models, with conflicting empirical results and …