[HTML][HTML] Software bug prediction using weighted majority voting techniques

S Moustafa, MY ElNainay, N El Makky… - Alexandria engineering …, 2018 - Elsevier
Mining software repositories is a growing research field where rich data available in the
different development software repositories, are analyzed and cross-linked to uncover useful …

[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 …

[HTML][HTML] Software fault prediction based on change metrics using hybrid algorithms: An empirical study

W Rhmann, B Pandey, G Ansari, DK Pandey - Journal of King Saud …, 2020 - Elsevier
Quality of the developed software depends on its bug free operation. Although bugs can be
introduced in any phase of the software development life-cycle but their identification in …

Benchmarking machine learning technologies for software defect detection

S Aleem, LF Capretz, F Ahmed - arXiv preprint arXiv:1506.07563, 2015 - arxiv.org
Machine Learning approaches are good in solving problems that have less information. In
most cases, the software domain problems characterize as a process of learning that …

[PDF][PDF] Analysis of data mining based software defect prediction techniques

N Azeem, S Usmani - Global Journal of Computer Science and …, 2011 - Citeseer
Federal Urdu University Abstract-Software bug repository is the main resource for fault prone
modules. Different data mining algorithms are used to extract fault prone modules from these …

Software bug prediction using object-oriented metrics

DL Gupta, K Saxena - Sādhanā, 2017 - Springer
Software quality is the fundamental requirement for a user, academia person, software
developing organizations and researchers. In this paper a model for object-oriented …

[PDF][PDF] Software defect prediction using variant based ensemble learning and feature selection techniques

U Ali, S Aftab, A Iqbal, Z Nawaz, MS Bashir… - International Journal of …, 2020 - mecs-press.org
Testing is considered as one of the expensive activities in software development process.
Fixing the defects during testing process can increase the cost as well as the completion …

[PDF][PDF] A feature selection based ensemble classification framework for software defect prediction

A Iqbal, S Aftab, I Ullah, MS Bashir… - International Journal of …, 2019 - mecs-press.org
Software defect prediction is one of the emerging research areas of software engineering.
The prediction of defects at early stage of development process can produce high quality …

[PDF][PDF] Ensemble learning for software fault prediction problem with imbalanced data.

TT Khuat, MH Le - International Journal of Electrical & Computer …, 2019 - academia.edu
Fault prediction problem has a crucial role in the software development process because it
contributes to reducing defects and assisting the testing process towards fault-free software …

[HTML][HTML] Software defect prediction using supervised machine learning and ensemble techniques: a comparative study

A Alsaeedi, MZ Khan - Journal of Software Engineering and Applications, 2019 - scirp.org
An essential objective of software development is to locate and fix defects ahead of
schedule that could be expected under diverse circumstances. Many software development …