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 …

[HTML][HTML] Classification framework for faulty-software using enhanced exploratory whale optimizer-based feature selection scheme and random forest ensemble …

M Mafarja, T Thaher, MA Al-Betar, J Too… - Applied …, 2023 - Springer
Abstract Software Fault Prediction (SFP) is an important process to detect the faulty
components of the software to detect faulty classes or faulty modules early in the software …

Using coding-based ensemble learning to improve software defect prediction

Z Sun, Q Song, X Zhu - … Systems, Man, and Cybernetics, Part C …, 2012 - ieeexplore.ieee.org
Using classification methods to predict software defect proneness with static code attributes
has attracted a great deal of attention. The class-imbalance characteristic of software defect …

[HTML][HTML] Software defect prediction based on nested-stacking and heterogeneous feature selection

L Chen, C Wang, S Song - Complex & Intelligent Systems, 2022 - Springer
Software testing guarantees the delivery of high-quality software products, and software
defect prediction (SDP) has become an important part of software testing. Software defect …

A novel modified undersampling (MUS) technique for software defect prediction

P Lingden, A Alsadoon, PWC Prasad… - Computational …, 2019 - Wiley Online Library
Background and aim: Many sophisticated data mining and machine learning algorithms
have been used for software defect prediction (SDP) to enhance the quality of software …

Software defect prediction based on correlation weighted class association rule mining

Y Shao, B Liu, S Wang, G Li - Knowledge-Based Systems, 2020 - Elsevier
Software defect prediction based on supervised learning plays a crucial role in guiding
software testing for resource allocation. In particular, it is worth noticing that using …

Empirical evaluation of classifiers for software risk management

Y Peng, G Kou, G Wang, H Wang… - International Journal of …, 2009 - World Scientific
Software development involves plenty of risks, and errors exist in software modules
represent a major kind of risk. Software defect prediction techniques and tools that identify …

[HTML][HTML] A novel approach for software defect prediction using CNN and GRU based on SMOTE Tomek method

NAA Khleel, K Nehéz - Journal of Intelligent Information Systems, 2023 - Springer
Software defect prediction (SDP) plays a vital role in enhancing the quality of software
projects and reducing maintenance-based risks through the ability to detect defective …

Software defect prediction through neural network and feature selections

MS Alkhasawneh - Applied Computational Intelligence and Soft …, 2022 - Wiley Online Library
Software failure such as software defect causes billion of dollar loss every year. Software
failure also affects billion of people worldwide. Inadequate software testing can cause …

[PDF][PDF] Feature selection using decision tree induction in class level metrics dataset for software defect predictions

N Gayatri, S Nickolas, AV Reddy, S Reddy… - Proceedings of the …, 2010 - iaeng.org
The importance of software testing for quality assurance cannot be over emphasized. The
estimation of quality factors is important for minimizing the cost and improving the …