Search Results - "Defect tracking (Computer software development)"

Harnessing Large Language Models for Software Issue Learning and Knowledge Retention.

Authors: CHEN, SZU-YU HUANG, NAN-JUNG KOONG, CHORNG-SHIUH et al.

Source: Journal of Information Science & Engineering. May2026, Vol. 42 Issue 3, p703-726. 24p.

Subjects: Language models, Defect tracking (Computer software development), Intelligent tutoring systems, Memory, Software engineering, Computer programming education, Generative adversarial networks, Instructional systems

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.

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.

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.

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.

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

Authors: Zhao, Yu Yuan, Xinyu Gong, Lina et al.

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

Subjects: Feature extraction, Defect tracking (Computer software development), Artificial neural networks

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

Authors: Lin, Jing‐Rong Huang, Chin‐Yu Fang, Chih‐Chiang

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

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

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

Authors: Liu, Xueting Jin, Haibo

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

Subjects: Defect tracking (Computer software development), Graph neural networks, Machine learning, Generalization

TEB-YOLO: A Lightweight YOLOv5-Based Model for Bamboo Strip Defect Detection.

Authors: Yang, Xipeng Ruan, Chengzhi Yu, Fei et al.

Source: Forests (19994907). Aug2025, Vol. 16 Issue 8, p1219. 21p.

The Value of Imbalance Ensemble Techniques on Software Defect Prediction.

Authors: Altamimi, Ahmad M. Azzeh, Mohammad Sowan, Bilal

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

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

Authors: Chen, Jinfu Li, Zhehao Xu, Jiaping et al.

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

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

PSCSelector: Appropriate Program Slicing Criteria Selection Based on Parameter‐Efficient Lightweight LLM.

Authors: Chang, Jianming Wang, Lulu Zhang, Zaixing et al.

Source: Journal of Software: Evolution & Process. Mar2026, Vol. 38 Issue 3, p1-15. 15p.

Subjects: Software engineering, Defect tracking (Computer software development), Language models, Modeling languages (Computer science), Deep learning

'Patch Wave' Warning: AI May Expose Decades of Hidden Software Bugs.

Authors: Ruiz, Eric Gerard (AUTHOR)

Source: eWeek. 5/4/2026, pN.PAG-N.PAG. 1p.

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

Authors: Du, Xianjun Wang, Jingxiang

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

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.

Deterministic Record-and-Replay.

Authors: Quinn, Andrew Alvaro, Peter

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

Anthropic launches AI Code Review tool for Claude Code platform.

Source: CIO&Leader. 3/10/2026, pN.PAG-N.PAG. 1p.

A Machine Learning Approach for Classifying the Default Bug Severity Level.

Authors: Aburakhia, Abdalrahman Alshayeb, Mohammad

Source: Arabian Journal for Science & Engineering (Springer Science & Business Media B.V. ). Sep2024, Vol. 49 Issue 9, p13131-13148. 18p.

Subjects: Defect tracking (Computer software development), Default (Finance), Support vector machines, Feature extraction, Sentiment analysis, Software maintenance

An explainable AI-based interpreter for deep-dual-wave based Unet framework with a cross-attention layer-based dental caries segmentation and classification.

Authors: Aelgani, Vivekanand Singh, Akansha Narayana, V. A.

Source: Network Modeling & Analysis in Health Informatics & Bioinformatics. 3/7/2026, Vol. 15 Issue 1, p1-21. 21p.

Prioritization Method for Crowdsourced Test Report by Integrating Text and Image Information.

Authors: Tu, Huijie Yao, Xiangjuan Gong, Dunwei et al.

Source: Journal of Software: Evolution & Process. Sep2025, Vol. 37 Issue 9, p1-15. 15p.

Subjects: Crowdsourcing, Defect tracking (Computer software development), Data analysis