Feature selection using firefly algorithm in software defect prediction

M Anbu, GS Anandha Mala - Cluster Computing, 2019 - Springer
Defects occurring in software product are a universal event. Prevention of these defects in
the early stage needs more attention because early stage prevention and fixing requires …

[PDF][PDF] A feature selection based model for software defect prediction

S Agarwal, D Tomar - assessment, 2014 - researchgate.net
Software is a complex entity composed in various modules with varied range of defect
occurrence possibility. Efficient and timely prediction of defect occurrence in software allows …

Machine learning based methods for software fault prediction: A survey

SK Pandey, RB Mishra, AK Tripathi - Expert Systems with Applications, 2021 - Elsevier
Several prediction approaches are contained in the arena of software engineering such as
prediction of effort, security, quality, fault, cost, and re-usability. All these prediction …

Neural network parameter optimization based on genetic algorithm for software defect prediction

RS Wahono, NS Herman… - Advanced Science Letters, 2014 - ingentaconnect.com
Software fault prediction approaches are much more efficient and effective to detect software
faults compared to software reviews. Machine learning classification algorithms have been …

A systematic literature review on software defect prediction using artificial intelligence: Datasets, Data Validation Methods, Approaches, and Tools

J Pachouly, S Ahirrao, K Kotecha… - … Applications of Artificial …, 2022 - Elsevier
Delivering high-quality software products is a challenging task. It needs proper coordination
from various teams in planning, execution, and testing. Many software products have high …

Genetic feature selection for software defect prediction

RS Wahono, NS Herman - Advanced Science Letters, 2014 - ingentaconnect.com
Recently, software defect prediction is an important research topic in the software
engineering field. The accurate prediction of defect prone software modules can help the …

[PDF][PDF] Improved random forest algorithm for software defect prediction through data mining techniques

SG Jacob - International Journal of Computer Applications, 2015 - Citeseer
Software defect prediction using classification algorithms was advocated by many
researchers. Moreover the classifier ensemble can effectively improve classification …

Software defect prediction using cost-sensitive neural network

ÖF Arar, K Ayan - Applied Soft Computing, 2015 - Elsevier
The software development life cycle generally includes analysis, design, implementation,
test and release phases. The testing phase should be operated effectively in order to …

A dimensionality reduction-based efficient software fault prediction using Fisher linear discriminant analysis (FLDA)

A Kalsoom, M Maqsood, MA Ghazanfar, F Aadil… - The Journal of …, 2018 - Springer
Software quality is an important factor in the success of software companies. Traditional
software quality assurance techniques face some serious limitations especially in terms of …

Comparative analysis of statistical and machine learning methods for predicting faulty modules

R Malhotra - Applied Soft Computing, 2014 - Elsevier
The demand for development of good quality software has seen rapid growth in the last few
years. This is leading to increase in the use of the machine learning methods for analyzing …