Software defect prediction based on kernel PCA and weighted extreme learning machine

Z Xu, J Liu, X Luo, Z Yang, Y Zhang, P Yuan… - Information and …, 2019 - Elsevier
Context Software defect prediction strives to detect defect-prone software modules by mining
the historical data. Effective prediction enables reasonable testing resource allocation …

Effect of hydrogeochemical behavior on groundwater resources in Holocene aquifers of moribund Ganges Delta, India: Infusing data-driven algorithms

A Saha, SC Pal, I Chowdhuri, P Roy… - Environmental …, 2022 - Elsevier
One of the fundamental sustainable development goals has been recognized as having
access to clean water for drinking purposes. In the Anthropocene era, rapid urbanization put …

Integrated approach to software defect prediction

EA Felix, SP Lee - IEEE Access, 2017 - ieeexplore.ieee.org
Software defect prediction provides actionable outputs to software teams while contributing
to industrial success. Empirical studies have been conducted on software defect prediction …

An empirical framework for defect prediction using machine learning techniques with Android software

R Malhotra - Applied Soft Computing, 2016 - Elsevier
Context Software defect prediction is important for identification of defect-prone parts of a
software. Defect prediction models can be developed using software metrics in combination …

Cross‐project defect prediction method based on genetic algorithm feature selection

Z Hu, Y Zhu - Engineering Reports, 2023 - Wiley Online Library
With the continuous development of Internet technology, the role of software in life is
increasing, and software defect prediction (SDP) is a key means to ensure software …

[PDF][PDF] Analyzing machine learning techniques for fault prediction using web applications

R Malhotra, A Sharma - Journal of information processing systems, 2018 - koreascience.kr
Web applications are indispensable in the software industry and continuously evolve either
meeting a newer criteria and/or including new functionalities. However, despite assuring …

Machine learning approach for software defect prediction using multi-core parallel computing

A Parashar, R Kumar Goyal, S Kaushal… - Automated Software …, 2022 - Springer
Defect prediction in software development is a very active topic of study. Software defect
prediction (SDP) findings give the list of defect-prone source code artefacts, enabling quality …

The untold impact of learning approaches on software fault-proneness predictions: an analysis of temporal aspects

MJ Ahmad, K Goseva-Popstojanova… - Empirical Software …, 2024 - Springer
This paper aims to improve software fault-proneness prediction by investigating the
unexplored effects on classification performance of the temporal decisions made by …

An empirical comparison of predictive models for web page performance

R Ramakrishnan, A Kaur - Information and Software Technology, 2020 - Elsevier
Context The quality of user experience is the cornerstone of any organization's successful
digital transformation journey. Web pages are the main touchpoint for users to access …

Application of machine learning on process metrics for defect prediction in mobile application

A Kaur, K Kaur, H Kaur - … and Intelligent Applications: Proceedings of Third …, 2016 - Springer
This paper studied process metrics in detail for predicting defects in an open source mobile
applications in continuation with our previous study (Moser et al. Software Engineering …