Software defect prediction analysis using machine learning techniques

A Khalid, G Badshah, N Ayub, M Shiraz, M Ghouse - Sustainability, 2023 - mdpi.com
There is always a desire for defect-free software in order to maintain software quality for
customer satisfaction and to save testing expenses. As a result, we examined various known …

An optimized feature selection method using ensemble classifiers in software defect prediction for healthcare systems

UG Mohammad, S Imtiaz, M Shakya… - Wireless …, 2022 - Wiley Online Library
The healthcare systems are extensively being used with increased focus on safety of
patients. Software engineering for healthcare applications is an emerging research area …

Enhancing software defect prediction: a framework with improved feature selection and ensemble machine learning

M Ali, T Mazhar, A Al-Rasheed, T Shahzad… - PeerJ Computer …, 2024 - peerj.com
Effective software defect prediction is a crucial aspect of software quality assurance,
enabling the identification of defective modules before the testing phase. This study aims to …

[HTML][HTML] A multimodal deep learning infused with artificial algae algorithm–An architecture of advanced E-health system for cancer prognosis prediction

S Kanwal, F Khan, S Alamri - Journal of King Saud University-Computer …, 2022 - Elsevier
Cancer becomes life-threatening when it affects vital organs and their potential to function;
therefore, early discovery is crucial for prognosis management. Medical research benefits …

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 …

Service coverage optimization for facility location: considering line-of-sight coverage in continuous demand space

X Ma, X Zhang, X Zhao - International Journal of Geographical …, 2023 - Taylor & Francis
The reliable service coverage of many facilities or sensors used in smart city infrastructure is
highly susceptible to obstructions in urban environments. Optimizing the line-of-sight (LOS) …

Current Software Defect Prediction: A Systematic Review

YZ Bala, PA Samat, KY Sharif… - 2022 Applied Informatics …, 2022 - ieeexplore.ieee.org
detecting defect in a software product prior to testing reduces the cost of testing and improve
the quality of the software product. Various methods for enhancing the accuracy of defect …

Automated program and software defect root cause analysis using machine learning techniques

C Anjali, J Punitha Malar Dhas… - Automatika: časopis za …, 2023 - hrcak.srce.hr
Sažetak For the automated root cause analysis (ARCA) method and simplified RCA
technique, their empirical assessment is presented in this study. A focus group meeting is a …

Hybrid feature selection method for predicting software defect

AJ Anju, JE Judith - Journal of Engineering and Applied Science, 2024 - Springer
To address the challenges associated with the abundance of features in software datasets,
this study proposes a novel hybrid feature selection method that combines quantum particle …

Prediction Of Software Defects by Employing Optimized Deep Learning and Oversampling Approaches

MC Devi, TD Rajkumar… - 2024 2nd International …, 2024 - ieeexplore.ieee.org
One of the most crucial methods for assessing software quality and cutting development
costs is software defect prediction (SDP). Software defects can be predicted using data …