Software defect prediction using ensemble learning on selected features

IH Laradji, M Alshayeb, L Ghouti - Information and Software Technology, 2015 - Elsevier
Context Several issues hinder software defect data including redundancy, correlation,
feature irrelevance and missing samples. It is also hard to ensure balanced distribution …

[PDF][PDF] A study on software metrics based software defect prediction using data mining and machine learning techniques

MC Prasad, L Florence, A Arya - International Journal of Database …, 2015 - academia.edu
Software quality is a field of study and practice that describes the desirable attributes of
software products. The performance must be perfect without any defects. Software quality …

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 …

An empirical study on software defect prediction using over-sampling by SMOTE

C Pak, TT Wang, XH Su - International Journal of Software …, 2018 - World Scientific
Software defect prediction suffers from the class-imbalance. Solving the class-imbalance is
more important for improving the prediction performance. SMOTE is a useful over-sampling …

Feature selection in software defect prediction: A comparative study

M Kakkar, S Jain - … Conference-Cloud System and Big Data …, 2016 - ieeexplore.ieee.org
Software has become a vital part of human's life-hence building defect free software is a
must. Various studies have been carried out to predict defects, probability of defect prone …

Classification with reject option for software defect prediction

DPP Mesquita, LS Rocha, JPP Gomes… - Applied Soft Computing, 2016 - Elsevier
Context Software defect prediction (SDP) is an important task in software engineering. Along
with estimating the number of defects remaining in software systems and discovering defect …

Software fault prediction for imbalanced data: a survey on recent developments

S Pandey, K Kumar - Procedia Computer Science, 2023 - Elsevier
The method of recognizing faults in a software system is acknowledged as software fault
prediction. Software faults predicted in prior stages help in the management of resources …

[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 …

User preferences based software defect detection algorithms selection using MCDM

Y Peng, G Wang, H Wang - Information Sciences, 2012 - Elsevier
A variety of classification algorithms for software defect detection have been developed over
the years. How to select an appropriate classifier for a given task is an important issue in …

Empirical assessment of machine learning based software defect prediction techniques

VUB Challagulla, FB Bastani, IL Yen… - International Journal on …, 2008 - World Scientific
Automated reliability assessment is essential for systems that entail dynamic adaptation
based on runtime mission-specific requirements. One approach along this direction is to …