Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Deep learning based software defect prediction
Lei Qiao, Xuesong Li, Qasim Umer, et al.
Neurocomputing (2019) Vol. 385, pp. 100-110
Closed Access | Times Cited: 156

Showing 1-25 of 156 citing articles:

On the use of deep learning in software defect prediction
Görkem Giray, Kwabena Ebo Bennin, Ömer Köksal, et al.
Journal of Systems and Software (2022) Vol. 195, pp. 111537-111537
Open Access | Times Cited: 85
Multiple populations co-evolutionary particle swarm optimization for multi-objective cardinality constrained portfolio optimization problem
Hong Zhao, Zong-Gan Chen, Zhi‐Hui Zhan, et al.
Neurocomputing (2021) Vol. 430, pp. 58-70
Closed Access | Times Cited: 59
Backpropagation Neural Network optimization and software defect estimation modelling using a hybrid Salp Swarm optimizer-based Simulated Annealing Algorithm
Sofian Kassaymeh, Mohamad Al-Laham, Mohammed Azmi Al‐Betar, et al.
Knowledge-Based Systems (2022) Vol. 244, pp. 108511-108511
Closed Access | Times Cited: 50
Software Fault Prediction Using an RNN-Based Deep Learning Approach and Ensemble Machine Learning Techniques
Emin Borandağ
Applied Sciences (2023) Vol. 13, Iss. 3, pp. 1639-1639
Open Access | Times Cited: 31
An Empirical Study on Software Defect Prediction Using CodeBERT Model
Cong Pan, Minyan Lu, Biao Xu
Applied Sciences (2021) Vol. 11, Iss. 11, pp. 4793-4793
Open Access | Times Cited: 56
Predicting the precise number of software defects: Are we there yet?
Xiao Yu, Jacky Keung, Yan Xiao, et al.
Information and Software Technology (2022) Vol. 146, pp. 106847-106847
Closed Access | Times Cited: 34
Diversity based imbalance learning approach for software fault prediction using machine learning models
Pravali Manchala, Manjubala Bisi
Applied Soft Computing (2022) Vol. 124, pp. 109069-109069
Closed Access | Times Cited: 32
A novel approach for software defect prediction using CNN and GRU based on SMOTE Tomek method
Nasraldeen Alnor Adam Khleel, Károly Nehéz
Journal of Intelligent Information Systems (2023) Vol. 60, Iss. 3, pp. 673-707
Open Access | Times Cited: 18
A Decade of Intelligent Software Testing Research: A Bibliometric Analysis
Mohamed Boukhlif, Mohamed Hanine, Nassim Kharmoum
Electronics (2023) Vol. 12, Iss. 9, pp. 2109-2109
Open Access | Times Cited: 17
Enhancing software defect prediction: a framework with improved feature selection and ensemble machine learning
Misbah Ali, Tehseen Mazhar, Amal Al‐Rasheed, et al.
PeerJ Computer Science (2024) Vol. 10, pp. e1860-e1860
Open Access | Times Cited: 8
Predicting the Number of Software Faults using Deep Learning
Wahaj Alkaberi, Fatmah Yousef Assiri
Engineering Technology & Applied Science Research (2024) Vol. 14, Iss. 2, pp. 13222-13231
Open Access | Times Cited: 8
A clustering-based resampling technique with cluster StructureAnalysis for software defect detection in imbalanced datasets
Leonidas Akritidis, Panayiotis Bozanis
Information Sciences (2024) Vol. 674, pp. 120724-120724
Closed Access | Times Cited: 5
An efficient convergence-boosted salp swarm optimizer-based artificial neural network for the development of software fault prediction models
Mohamad Al-Laham, Sofian Kassaymeh, Mohammed Azmi Al‐Betar, et al.
Computers & Electrical Engineering (2023) Vol. 111, pp. 108923-108923
Closed Access | Times Cited: 13
A survey on machine learning techniques applied to source code
Tushar Sharma, Maria Kechagia, Stefanos Georgiou, et al.
Journal of Systems and Software (2023) Vol. 209, pp. 111934-111934
Open Access | Times Cited: 13
Hybrid Optimization-Based Neural Network Classifier for Software Defect Prediction
M. Prashanthi, Mahesh Mohan
International Journal of Image and Graphics (2023) Vol. 24, Iss. 04
Closed Access | Times Cited: 12
Effort-Aware Just-in-Time Bug Prediction for Mobile Apps Via Cross-Triplet Deep Feature Embedding
Zhou Xu, Kunsong Zhao, Tao Zhang, et al.
IEEE Transactions on Reliability (2021) Vol. 71, Iss. 1, pp. 204-220
Closed Access | Times Cited: 27
Software defect prediction via optimal trained convolutional neural network
S. Balasubramaniam, Shantappa G. Gollagi
Advances in Engineering Software (2022) Vol. 169, pp. 103138-103138
Closed Access | Times Cited: 17
Dynamic behavior prediction of modules in crushing via FEA-DNN technique for durable battery-pack system design
Yongjun Pan, Xiaoxi Zhang, Yue Liu, et al.
Applied Energy (2022) Vol. 322, pp. 119527-119527
Closed Access | Times Cited: 17
An automated software failure prediction technique using hybrid machine learning algorithms
R. Chennappan, Vidyaathulasiraman
Journal of Engineering Research (2023) Vol. 11, Iss. 1, pp. 100002-100002
Open Access | Times Cited: 10
Domain-specific implications of error-type metrics in risk-based software fault prediction
Khoa Phung, Emmanuel Ogunshile, Mehmet Emin Aydın
Software Quality Journal (2025) Vol. 33, Iss. 1
Open Access
Prediction of incompatible bug numbers between versions of java open-source software based on deep fusion features
Xiaoxu Niu, Hongwei Tao, Qiaoling Cao, et al.
Expert Systems with Applications (2025), pp. 126444-126444
Closed Access
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
Prediction of defects in Smart Contracts applying Deep Learning with Solidity metrics
Regina Cibelle de Oliveira, Edson Mello Lucas, Gustavo Barbosa Libotte
Journal of the Brazilian Computer Society (2025) Vol. 31, Iss. 1, pp. 174-186
Open Access
Software defect prediction based on residual/shuffle network optimized by upgraded fish migration optimization algorithm
Zhijing Liu, Tong Su, Michail A. Zakharov, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Software Defect Code Analyzer Using Cosine Similarity
Kiran Pashikanti, A. Jackulin Mahariba, D.B. Ramesh, et al.
Lecture notes in networks and systems (2025), pp. 61-68
Closed Access
Page 1 - Next Page

Scroll to top