Improvement in software defect prediction outcome using principal component analysis and ensemble machine learning algorithms

N Dhamayanthi, B Lavanya - … Technologies and Internet of Things (ICICI) …, 2019 - Springer
Improving customer experience is the focus of IT Industry. It is no longer about customer
satisfaction, but it is about creating memorable experiences which will help build loyal …

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 …

Noise filtering and imbalance class distribution removal for optimizing software fault prediction using best software metrics suite

A Joon, RK Tyagi, K Kumar - 2020 5th International …, 2020 - ieeexplore.ieee.org
Software fault detection is by far the most prevalent field of predictive analysis in the software
engineering paradigm and several research centers have launched new ventures in this …

Revisiting the class imbalance issue in software defect prediction

MF Sohan, MA Kabir, MI Jabiullah… - 2019 International …, 2019 - ieeexplore.ieee.org
Software defect prediction is related to the testing area of software industry. Several methods
have been developed for the prediction of bugs in software source codes. The objective of …

Software defect prediction using ensemble learning: A systematic literature review

F Matloob, TM Ghazal, N Taleb, S Aftab… - IEEE …, 2021 - ieeexplore.ieee.org
Recent advances in the domain of software defect prediction (SDP) include the integration of
multiple classification techniques to create an ensemble or hybrid approach. This technique …

[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 …

Software defect prediction: a comparison between artificial neural network and support vector machine

I Arora, A Saha - … and Communication Technologies: Proceedings of the …, 2018 - Springer
Software industry has stipulated the need for good quality software projects to be delivered
on time and within budget. Software defect prediction (SDP) has led to the application of …

[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 …

Software defect-prone classification using machine learning: A virtual classification study between LibSVM & LibLinear

S Shaikh, L Changan, MR Malik… - 2019 13th International …, 2019 - ieeexplore.ieee.org
The field of machine learning has been developing quickly, delivering an assortment of
learning algorithms for various software applications. A definitive estimation of those …

[HTML][HTML] Industrial applications of software defect prediction using machine learning: A business-driven systematic literature review

S Stradowski, L Madeyski - Information and Software Technology, 2023 - Elsevier
Context: Machine learning software defect prediction is a promising field of software
engineering, attracting a great deal of attention from the research community; however, its …