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 …

Predicting defect of software system

S Ghosh, A Rana, V Kansal - … of the 5th International Conference on …, 2017 - Springer
Any particular study on software quality with all desirable attributes of software products can
be treated as complete and perfect provided it is defective. Defects continue to be an …

[PDF][PDF] An insight to soft computing based defect prediction techniques in software

K Verma, PK Singh - International Journal of Modern Education and …, 2015 - academia.edu
Nowadays, the complexity and size of software systems is proliferating. These factors have
various pros and cons. On one side where they lead to better performance and satisfactory …

Comparative study on defect prediction algorithms of supervised learning software based on imbalanced classification data sets

J Ge, J Liu, W Liu - … 19th IEEE/ACIS International Conference on …, 2018 - ieeexplore.ieee.org
With the development of high complexity and high integration of software systems, the
quality of software has gradually received widespread attention in scientific research and …

Software defect prediction using random forest algorithm

YN Soe, PI Santosa, R Hartanto - 2018 12th South East Asian …, 2018 - ieeexplore.ieee.org
The software defect can cause the unnecessary effects on the software such as cost and
quality. The prediction of the software defect can be useful for the development of good …

A review of machine learning techniques for software quality prediction

SK Cowlessur, S Pattnaik, BK Pattanayak - Advanced Computing and …, 2020 - Springer
Successful implementation of a software product entirely depends on the quality of the
software developed. However, prediction of the quality of a software product prior to its …

Predicting software faults based on k-nearest neighbors classification

M Hammad, A Alqaddoumi… - International Journal of …, 2019 - journal.uob.edu.bh
Software defect prediction is one of the most important task during the development of
software systems in order to save developers' time and effort. Discovering defects in an early …

[PDF][PDF] Dynamic detection of software defects using supervised learning techniques

A Al-Nusirat, F Hanandeh, M Kharabsheh… - International Journal of …, 2019 - academia.edu
In software testing, automatic detection of faults and defects in software is both complex and
important. There are different techniques utilized to predict future defects. Machine learning …

[PDF][PDF] Optimal machine learning model for software defect prediction

T Lamba, AK Mishra - International Journal of Intelligent …, 2019 - researchgate.net
Machine Learning is a division of Artificial Intelligence which builds a system that learns from
the data. Machine learning has the capability of taking the raw data from the repository …

Optimizing prediction intervals by tuning random forest via meta-validation

S Bayley, D Falessi - arXiv preprint arXiv:1801.07194, 2018 - arxiv.org
Recent studies have shown that tuning prediction models increases prediction accuracy and
that Random Forest can be used to construct prediction intervals. However, to our best …