
OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!
If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.
Requested Article:
A Novel Approach to Improve Software Defect Prediction Accuracy Using Machine Learning
Iqra Mehmood, Sidra Shahid, Hameed Hussain, et al.
IEEE Access (2023) Vol. 11, pp. 63579-63597
Open Access | Times Cited: 16
Iqra Mehmood, Sidra Shahid, Hameed Hussain, et al.
IEEE Access (2023) Vol. 11, pp. 63579-63597
Open Access | Times Cited: 16
Showing 16 citing articles:
Adaptive Ensemble Learning Model-Based Binary White Shark Optimizer for Software Defect Classification
Jameel Saraireh, Mary Agoyi, Sofian Kassaymeh
International Journal of Computational Intelligence Systems (2025) Vol. 18, Iss. 1
Open Access
Jameel Saraireh, Mary Agoyi, Sofian Kassaymeh
International Journal of Computational Intelligence Systems (2025) Vol. 18, Iss. 1
Open Access
An Efficient Source Code Transformation Strategy Based on Graph-Based Machine Learning and Generative Ai Techniques
Sucheendra K. Palaniappan, Vijayasekhar Duvvur
(2025)
Closed Access
Sucheendra K. Palaniappan, Vijayasekhar Duvvur
(2025)
Closed Access
Machine Learning Approaches in Software Vulnerability Detection: A Systematic Review and Analysis of Contemporary Methods
Jude E. Ameh, Abayomi Otebolaku, Alex Shenfield, et al.
Research Square (Research Square) (2025)
Closed Access
Jude E. Ameh, Abayomi Otebolaku, Alex Shenfield, et al.
Research Square (Research Square) (2025)
Closed Access
Mutation boosted salp swarm optimizer meets rough set theory: A novel approach to software defect detection
Kripa Sekaran, Sherly Puspha Annabel Lawrence
Transactions on Emerging Telecommunications Technologies (2024) Vol. 35, Iss. 3
Closed Access | Times Cited: 2
Kripa Sekaran, Sherly Puspha Annabel Lawrence
Transactions on Emerging Telecommunications Technologies (2024) Vol. 35, Iss. 3
Closed Access | Times Cited: 2
Data-efficient software defect prediction: A comparative analysis of active learning-enhanced models and voting ensembles
Charalampos M. Liapis, Aikaterini Karanikola, Sotiris Kotsiantis
Information Sciences (2024) Vol. 676, pp. 120786-120786
Closed Access | Times Cited: 2
Charalampos M. Liapis, Aikaterini Karanikola, Sotiris Kotsiantis
Information Sciences (2024) Vol. 676, pp. 120786-120786
Closed Access | Times Cited: 2
Software Bug Prediction using Machine Learning on JM1 Dataset
Nowrin Muhaimin Shailee, Api Alam, Tanvir Ahmed, et al.
(2024), pp. 01-06
Closed Access | Times Cited: 1
Nowrin Muhaimin Shailee, Api Alam, Tanvir Ahmed, et al.
(2024), pp. 01-06
Closed Access | Times Cited: 1
Handling class overlap and imbalance using overlap driven under-sampling with balanced random forest in software defect prediction
Abdul Waheed Dar, Sheikh Umar Farooq
Innovations in Systems and Software Engineering (2024)
Closed Access | Times Cited: 1
Abdul Waheed Dar, Sheikh Umar Farooq
Innovations in Systems and Software Engineering (2024)
Closed Access | Times Cited: 1
A many objective based feature selection model for software defect prediction
Qi Mao, Jingbo Zhang, Tianhao Zhao, et al.
Concurrency and Computation Practice and Experience (2024)
Closed Access | Times Cited: 1
Qi Mao, Jingbo Zhang, Tianhao Zhao, et al.
Concurrency and Computation Practice and Experience (2024)
Closed Access | Times Cited: 1
CfExplainer: Explainable just-in-time defect prediction based on counterfactuals
Fengyu Yang, Guangdong Zeng, Fa Zhong, et al.
Journal of Systems and Software (2024) Vol. 218, pp. 112182-112182
Closed Access | Times Cited: 1
Fengyu Yang, Guangdong Zeng, Fa Zhong, et al.
Journal of Systems and Software (2024) Vol. 218, pp. 112182-112182
Closed Access | Times Cited: 1
Machine Learning and Deep Learning Techniques to Predict Software Defects: A Bibliometric Analysis, Systematic Review, Challenges and Future Works
Alfredo Daza Vergaray, Oscar Gonzalo Apaza Pérez, Jhon Alexander Zagaceta Daza, et al.
(2024)
Closed Access
Alfredo Daza Vergaray, Oscar Gonzalo Apaza Pérez, Jhon Alexander Zagaceta Daza, et al.
(2024)
Closed Access
Piecewise Congruence Regressed Indexive Extreme Learning Classifier for Software Fault Prediction
Sureka Sivavelu, Venketesh Palanisamy
IEEE Access (2024) Vol. 12, pp. 119958-119972
Open Access
Sureka Sivavelu, Venketesh Palanisamy
IEEE Access (2024) Vol. 12, pp. 119958-119972
Open Access
Revolutionizing Software Defect Prediction Through Deep Learning
Selvin Jose G, James Charles
(2024), pp. 438-442
Closed Access
Selvin Jose G, James Charles
(2024), pp. 438-442
Closed Access
Reinforcing defect prediction: a reinforcement learning approach to mitigate class imbalance in software defect prediction
Mahfooz Alam, Mohd Mustaqeem
Iran Journal of Computer Science (2024)
Closed Access
Mahfooz Alam, Mohd Mustaqeem
Iran Journal of Computer Science (2024)
Closed Access
An incremental software defect detection model based on support vector machine
Dorra Zaibi, Mounir Salhi, Khaoula Tbarki, et al.
Engineering Computations (2024) Vol. 42, Iss. 1, pp. 76-95
Closed Access
Dorra Zaibi, Mounir Salhi, Khaoula Tbarki, et al.
Engineering Computations (2024) Vol. 42, Iss. 1, pp. 76-95
Closed Access
Hybrid Whale Optimization based Bidirectional Gated Recurrent Unit with Pre-trained CNN model for Software Fault Detection
Arvind Kumar Bhardwaj, Sameena Hs, Piyush Kumar Pareek, et al.
(2023), pp. 1-6
Closed Access
Arvind Kumar Bhardwaj, Sameena Hs, Piyush Kumar Pareek, et al.
(2023), pp. 1-6
Closed Access
Auxiliary Variables and Two-Step Iterative Algorithms in Object Detection: A Novel Approach
Md. Habibur Rahman, Yeasin Reza, Kawsar Alam Tanvir, et al.
(2023)
Open Access
Md. Habibur Rahman, Yeasin Reza, Kawsar Alam Tanvir, et al.
(2023)
Open Access