Search Results - Defect tracking (Computer software development)

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

Authors: Kaur, Harguneet Kaur, Arvinder

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

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

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

Deterministic Record-and-Replay.

Authors: Quinn, Andrew Alvaro, Peter

Source: Communications of the ACM. May2025, Vol. 68 Issue 5, p32-34. 3p.

Subject Terms: *DEFECT tracking (Computer software development), *COMPUTER programming, *INTERNET servers, COMPUTER debugging software, CLOUD computing, GRAPHICS processing units, MACHINE learning

CAG-Net: A Novel Change Attention Guided Network for Substation Defect Detection.

Authors: Xiang, Dao Du, Xiaofei Liu, Zhaoyang

Source: Mathematics (2227-7390). Jan2026, Vol. 14 Issue 1, p178. 19p.

Subject Terms: *DETECTION algorithms, *DEFECT tracking (Computer software development), *ARTIFICIAL neural networks

Interpretable Software Defect Prediction Using Hierarchical Multi-head Attention Networks on Defect Log Data.

Authors: Gottumukkala, Devi Priya P. V. G. D., Prasad Reddy Rao, S. Krishna

Source: International Journal of Intelligent Engineering & Systems; 2026, Vol. 19 Issue 1, p128-145, 18p

Subject Terms: DEEP learning, DEFECT tracking (Computer software development), INFORMATION processing, FORECASTING, FAILURE analysis

Defects prediction on software visualization and hybrid optimization by deep neural network.

Authors: Zhang, Ya Li, Zhen Yang, XueGang et al.

Source: KSII Transactions on Internet & Information Systems. Feb2026, Vol. 20 Issue 2, p627-645. 19p.

Subject Terms: Software visualization, Artificial neural networks, Metaheuristic algorithms, Machine learning, Sampling (Process), Defect tracking (Computer software development)

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

Authors: Liu, Weiguang Ren, Junyan Zhang, Wenning

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

Deep multi-metrics learning for mobile app defect prediction using code and process metrics.

Authors: Abdu, Ahmed Abdo, Hakim A. Ullah, Inam et al.

Source: Scientific Reports. 11/4/2025, Vol. 15 Issue 1, p1-21. 21p.

Subject Terms: *MOBILE apps, *DEFECT tracking (Computer software development), *SOFTWARE measurement, *DEEP learning, *MODEL validation, *CONVOLUTIONAL neural networks

Reviews & Products: ANDROID (Operating system)

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)

CPDD: A Cross-Scenario Photovoltaic Defect Detector Based on Fine-Grained Feature Autoencoding and Pseudo-Box Contrastive Learning.

Authors: Wang, Zhaoyang Chen, Haiyong Cao, Zhen

Source: IEEE Transactions on Semiconductor Manufacturing. Aug2025, Vol. 38 Issue 3, p612-623. 12p.

Subject Terms: *DEFECT tracking (Computer software development), *TECHNOLOGICAL innovations, PHOTOVOLTAIC power generation, MACHINE learning, VISUAL perception

Investigation and Research on Several Key Issues of Software Defect Prediction.

Authors: Zhang, Ya Liu, Ningzhong Sarwar, Nadeem

Source: IET Software (Wiley-Blackwell); 11/11/2025, Vol. 2025, p1-28, 28p

Subject Terms: DATA quality, PREDICTION models, COMPUTER software quality control, DEFECT tracking (Computer software development), MACHINE learning

Enhancing Task Prioritization in Software Development Issues Tracking System.

Authors: Shivashankar, Karthik Haugerud, Kristian Marison Martini, Antonio

Source: Journal of Software: Evolution & Process; Dec2025, Vol. 37 Issue 12, p1-19, 19p

Subject Terms: TRANSFORMER models, AUTOMATIC classification, COMPUTER performance, TASK analysis, RESOURCE allocation, LANGUAGE models, COMPUTER software development, DEFECT tracking (Computer software development)

Predicting Software Defect Discovery Incorporating Covariates with Recurrent Neural Networks.

Authors: Salboukh, Fatemeh Silva, Priscila Nagaraju, Vidhyashree et al.

Source: Quality & Reliability Engineering International; Feb2026, Vol. 42 Issue 1, p225-236, 12p

Subject Terms: RECURRENT neural networks, LONG short-term memory, SOFTWARE reliability, DEFECT tracking (Computer software development), ARTIFICIAL neural networks, PREDICTIVE validity

Computer Vision based Automated Fabric Classification for Textile Industries.

Authors: J., Visal Kanchana, R.

Source: Grenze International Journal of Engineering & Technology (GIJET); Jan2026, Vol. 12 Issue Part2, p4235-4239, 5p

Subject Terms: TEXTILE industry, CONVOLUTIONAL neural networks, QUALITY control, DEEP learning, INSPECTION & review, DEFECT tracking (Computer software development), COMPUTER vision

Software defect prediction using machine learning techniques.

Authors: Kumar, Nitin Sangwan, Om Prakash Beniwal, Sunita

Source: AIP Conference Proceedings; 2025, Vol. 3357 Issue 1, p1-8, 8p

Subject Terms: MACHINE learning, SOFTWARE engineering, PATTERN perception, FAULT diagnosis, RETROSPECTIVE studies, DEFECT tracking (Computer software development), COMPUTER software quality control, CRITICAL analysis

Defect prediction guided greybox fuzz testing.

Authors: Jin, Haochen Cui, Zhanqi Zhang, Ruichen et al.

Source: Journal of Systems & Software. Jan2026, Vol. 231, pN.PAG-N.PAG. 1p.

Subject Terms: *DEFECT tracking (Computer software development), COMPUTER software testing, SOFTWARE failures

Line-level defect prediction based on preceding line-aware and inter-line semantics enhancement.

Authors: Zhu, Xiaoke Zhang, Tao Chen, Xiaopan et al.

Source: Information & Software Technology. Mar2026, Vol. 191, pN.PAG-N.PAG. 1p.

Subject Terms: *SOFTWARE engineering, *DEFECT tracking (Computer software development), MACHINE learning, CONTEXTUAL analysis

Sensitivity Analysis Considering Wiener Processes and Deep Learning for OSS Reliability Assessment.

Authors: Okano, Seidai Tamura, Yoshinobu Yamada, Shigeru

Source: Journal of Graphic Era University; 2026, Vol. 14 Issue 1, p35-52, 18p

Subject Terms: SENSITIVITY analysis, DEEP learning, OPEN source software, WIENER processes, DEFECT tracking (Computer software development)

A privacy-preserving federated meta-learning framework for cross-project defect prediction in software systems.

Authors: Potharlanka, Jhansi Lakshmi Shaik, Kareena Yashmin N, Bharath Kumar

Source: Scientific Reports; 11/18/2025, Vol. 15 Issue 1, p1-28, 28p

Subject Terms: FEDERATED learning, SOFTWARE engineering, DATA protection software, DEFECT tracking (Computer software development), DATA security, MACHINE learning, KNOWLEDGE transfer