Hybrid approach for software defect prediction using machine learning with optimization technique

C Manjula, L Florence - International Journal of Computer …, 2018 - publications.waset.org
Software technology is developing rapidly which leads to the growth of various industries.
Now-a-days, software-based applications have been adopted widely for business purposes …

Feature Selection Using Firefly Algorithm with Tree-Based Classification in Software Defect Prediction

V Maulida, R Herteno, D Kartini, F Abadi… - Journal of Electronics …, 2023 - jeeemi.org
Defects that occur in software products are a universal occurrence. Software defect
prediction is usually carried out to determine the performance, accuracy, precision and …

A feature selection approach based on a similarity measure for software defect prediction

Q Yu, S Jiang, R Wang, H Wang - Frontiers of Information Technology & …, 2017 - Springer
Software defect prediction is aimed to find potential defects based on historical data and
software features. Software features can reflect the characteristics of software modules …

Software Defect Prediction Based on Optimized Machine Learning Models: A Comparative Study

MZFN Siswantoro, UL Yuhana - Teknika, 2023 - ejournal.ikado.ac.id
Software defect prediction is crucial used for detecting possible defects in software before
they manifest. While machine learning models have become more prevalent in software …

Empirical studies of a two-stage data preprocessing approach for software fault prediction

W Liu, S Liu, Q Gu, J Chen, X Chen… - IEEE Transactions on …, 2015 - ieeexplore.ieee.org
Software fault prediction is a valuable exercise in software quality assurance to best allocate
limited testing resources. Classification is one of the effective methods for software fault …

[PDF][PDF] Hybrid ensemble learning technique for software defect prediction

MZ Khan - International Journal of Modern Education & Computer …, 2020 - mecs-press.net
The reliability of software depends on its ability to function without error. Unfortunately, errors
can be generated during any phase of software development. In the field of software …

An approach for software defect prediction by combined soft computing

TP Pushphavathi - … , Data Analytics and Soft Computing (icecds …, 2017 - ieeexplore.ieee.org
Nowadays, software project success is the key challenge. Prediction of software defects is
main focus for the engineering community. A recent study in literature shows that data …

Software defect prediction using an intelligent ensemble-based model

M Ali, T Mazhar, Y Arif, S Al-Otaibi, YY Ghadi… - IEEE …, 2024 - ieeexplore.ieee.org
Software defect prediction plays a crucial role in enhancing software quality while achieving
cost savings in testing. Its primary objective is to identify and send only defective modules to …

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 …

Analysis of feature ranking techniques for defect prediction in software systems

S Sabharwal, S Nagpal, N Malhotra, P Singh… - Quality, IT and Business …, 2018 - Springer
Software quality is an important parameter, and it plays a crucial role in software
development. One of the most important software quality attributes is fault proneness. It …