Software Aging Defect Prediction Using Novel Oversampling Technique in Cloud Oriented Softwares.

Authors: Kaur, Harguneet¹ (AUTHOR) harguneetkaur@ms.du.ac.in, Kaur, Arvinder² (AUTHOR) arvinder@ipu.ac.in

Source: International Journal of Reliability, Quality & Safety Engineering. Apr2026, Vol. 33 Issue 2, p1-32. 32p.

Subject Terms: *Defect tracking (Computer software development), *Mathematical optimization, *Software reliability, Data augmentation, Classification algorithms, Cloud computing, Feature selection

Artificial Intelligence as a Co-Creator in Software Development.

Authors: ARSENE, Sabin-Marian¹ arsenesabin21@stud.ase.ro

Source: Informatica Economica. Jun2026, Vol. 39 Issue 2, p60-70. 11p.

Subject Terms: *Artificial intelligence, *Computer software development, *Defect tracking (Computer software development), *Computer programmers, *Software engineering, Language models, Prediction models

DP-S3: software defect prediction through feature fusion with syntax trees, program slices and standard features.

Authors: Chen, Jinfu¹ (AUTHOR), Li, Zhehao² (AUTHOR), Xu, Jiaping² (AUTHOR), Cai, Saihua¹ (AUTHOR), Sun, Jian² (AUTHOR), Sosu, Rexford Nii Ayitey³ (AUTHOR), Chen, Jiming¹ (AUTHOR)

Source: Computer Journal. Mar2026, Vol. 69 Issue 3, p470-491. 22p.

Subject Terms: *Defect tracking (Computer software development), *Software measurement, *Java programming language, *Long short-term memory, *Data analytics

DP‐GCN: Integrating GraphCodeBERT and GCN With Contrastive Learning for Software Defect Prediction.

Authors: Liu, Xueting¹ (AUTHOR) 2193745755@qq.com, Jin, Haibo¹ (AUTHOR)

Source: Journal of Software: Evolution & Process. Apr2026, Vol. 38 Issue 4, p1-17. 17p.

Subject Terms: *Defect tracking (Computer software development), *Graph neural networks, *Machine learning, *Generalization

Bidirectional Program Dependency–Guided Attention for Improved Method‐Level Software Defect Prediction.

Authors: Lin, Jing‐Rong¹ (AUTHOR), Huang, Chin‐Yu^1,2 (AUTHOR) cyhuang@cs.nthu.edu.tw, Fang, Chih‐Chiang² (AUTHOR)

Source: Journal of Software: Evolution & Process. May2026, Vol. 38 Issue 5, p1-20. 20p.

Subject Terms: *Transformer models, *Defect tracking (Computer software development), *Programming language semantics, *Software engineering

The Value of Imbalance Ensemble Techniques on Software Defect Prediction.

Authors: Altamimi, Ahmad M.¹ (AUTHOR) a_altamimi@psut.edu.jo, Azzeh, Mohammad² (AUTHOR) m.azzeh@psut.edu.jo, Sowan, Bilal³ (AUTHOR) bilal.sowan@uop.edu.jo

Source: Arabian Journal for Science & Engineering (Springer Science & Business Media B.V. ). Mar2026, Vol. 51 Issue 5, p6573-6597. 25p.

Subject Terms: *Ensemble learning, *Defect tracking (Computer software development), *Resampling (Statistics), *Bootstrap aggregation (Algorithms), *Machine learning

A STUDY OF ENSEMBLE MODELS FOR DEFECT PREDICTION FROM CLASS DIAGRAM.

Authors: BATTULGA, Batnyam, TSOODOL, Lkhamrolom, ERDENEBAATAR, Bilguun, ERDENEBAATAR, Tsetsegjargal, NAMSRAI, Oyun-Erdene, BOLD, Naranchimeg

Source: Advances in Electrical & Electronic Engineering; Jun2026, Vol. 24 Issue 2, p91-99, 9p

Subject Terms: Ensemble learning, Unified modeling language, Computer software development, Defect tracking (Computer software development), Machine learning

An explainable AI framework for enhanced software defect prediction using transformer-assisted boosting.

Authors: Kun, Qi, Shaikh, Zaffar Ahmed, Yang, Jing, Kumar, Gyanendra, Mohammed, Heba Abdelgader, Yee, Por Lip

Source: Scientific Reports; 6/4/2026, Vol. 16 Issue 1, p1-17, 17p

Subject Terms: Transformer models, Boosting algorithms, Shapley Additive Explanations, Artificial intelligence, Defect tracking (Computer software development), Software measurement, Machine learning

Refined Program Slicing Based on Online Redundancy Removal.

Authors: Chang, Jianming¹ (AUTHOR) jianmingchang@seu.edu.cn, Wang, Lulu¹ (AUTHOR) wanglulu@seu.edu.cn, Liao, Li¹ (AUTHOR) lliao@seu.edu.cn, Zhou, Ying¹ (AUTHOR) zy@seu.edu.cn

Source: International Journal of Software Engineering & Knowledge Engineering. Nov2026, Vol. 36 Issue 14, p2021-2068. 48p.

Subject Terms: *Defect tracking (Computer software development), Debugging

Enhance Expert‐Semantic Feature Extraction and Combine Feature Importance and Attention Scores for Just‐in‐Time Defect Prediction and Localization.

Authors: Zhao, Yu¹ (AUTHOR), Yuan, Xinyu¹ (AUTHOR), Gong, Lina¹ (AUTHOR) gonglina@nuaa.edu.cn, Huang, Zhiqiu¹ (AUTHOR) zqhuang@nuaa.edu.cn

Source: Journal of Software: Evolution & Process. May2026, Vol. 38 Issue 5, p1-19. 19p.

Subject Terms: *Feature extraction, *Defect tracking (Computer software development), *Artificial neural networks

SAF-YOLO: a Semantic-Aware Lightweight Framework for Fine-Grained PCB Defect Detection.

Authors: Du, Xianjun^1,2 (AUTHOR) xdu@lut.edu.cn, Wang, Jingxiang¹ (AUTHOR)

Source: Journal of Electronic Testing. Apr2026, Vol. 42 Issue 2, p273-286. 14p.

Subject Terms: *Defect tracking (Computer software development), *Object recognition (Computer vision), *Software frameworks, *Inspection & review

Defect Prediction Tool for Object-Oriented Software.

Alternate Title: أداة تنبؤ بالعيوب للبرامج كائنية التوجه.

Authors: Alsarraj, Rasha Gh.¹ rasha.alsarraj@uomosul.edu.iq

Source: Iraqi Journal of Science. 2025, Vol. 69 Issue 10, p4490-4501. 12p.

Subject Terms: *Computer software quality control, *Defect tracking (Computer software development), *Quality assurance, *Object-oriented programming, *Software measurement

Advancing software fault detection: A comparative study of neural network architectures.

Authors: Gunda, Sai Krishna¹ (AUTHOR) gundasaikrishna26@gmail.com

Source: AIP Conference Proceedings. 2026, Vol. 3345 Issue 1, p1-13. 13p.

Subject Terms: *Defect tracking (Computer software development), *Receiver operating characteristic curves, *Generalization, *Neural computers, *Computational complexity

Optimizing Pi–Sigma Neural Networks for software defect prediction via correlation-based feature selection and robust evaluation.

Authors: Ndahi, Barka Piyinkir, Abisoye, Opeyemi Aderiike, Ojerinde, Oluwaseun Adeniyi, Aliyu, Hamzat Olanrewaju

Source: Bulletin of the National Research Centre; 7/27/2026, Vol. 50 Issue 1, p1-8, 8p

Subject Terms: Feature selection, Artificial neural networks, Defect tracking (Computer software development), Evaluation methodology, Model validation

Software Defect Prediction Based on Multi-Hypergraph Adaptive Learning and Ensemble Learning.

Authors: Liu, Weiguang¹ weiguang.liu@zut.edu.cn, Ren, Junyan² 2023107340@zut.edu.cn, Zhang, Wenning³ zwn@zut.edu.cn

Source: IAENG International Journal of Computer Science. Mar2026, Vol. 53 Issue 3, p992-1006. 15p.

Subject Terms: Ensemble learning, Graph neural networks, Machine learning, Defect tracking (Computer software development), Mathematical optimization

Program defect prediction model based on topology aware node evaluation pool graph topology model.

Authors: Li, Dan, JosephNg, Poh Soon, Choo, Peng Yin, Phan, Koo Yuen, Wan, Wong See

Source: International Journal of Advances in Applied Sciences (IJAAS); Jun2026, Vol. 15 Issue 2, p583-593, 11p

Subject Terms: Deep learning, Defect tracking (Computer software development), Software measurement

Relay Pursuit-Vathana: A Novel Optimization Approach for Feature Selection in Software Defect Prediction.

Authors: M., Rajakani, R., Beaulah Jeyavathana, R. J., Kavitha

Source: Infocommunications Journal; Mar2026, Vol. 18 Issue 1, p2-10, 9p

Subject Terms: Feature selection, Optimization algorithms, Defect tracking (Computer software development), Naive Bayes classification, Prediction models

Smart Borescope Inspection System with AI-Based Defect Detection for Aero-Engine Maintenance.

Authors: Abishek k., as, Abhishek, Aswathi E., Jain, Kushi, Sony, Shon, Kumar, Kaushal

Source: International Scientific Journal of Engineering & Management; Jun2026, Vol. 5 Issue 6, p1-5, 5p

Subject Terms: Engine maintenance & repair, Computer vision, Condition-based maintenance, Nondestructive testing, Aeronautical safety measures, Defect tracking (Computer software development), Airplane maintenance, Deep learning

Adaptive Ensemble Learning for Software Defect Prediction with Imbalanced Data.

Authors: Mehta, Ashu¹ ashu.23631@lpu.co.in

Source: International Journal of Performability Engineering. Mar2026, Vol. 22 Issue 3, p167-177. 11p.

Subject Terms: Ensemble learning, Adaptive sampling (Statistics), Machine learning, Defect tracking (Computer software development)

Optimized Software Defect Prediction using SMOTE-Augmented Random Forest on High-Dimensional Code Metrics.

Authors: Yudhistiro, Kukuh

Source: Internet of Things & Artificial Intelligence Journal (IOTA); May2026, Vol. 6 Issue 2, p172-184, 13p

Subject Terms: Random forest algorithms, Resampling (Statistics), Defect tracking (Computer software development), Machine learning, Software measurement