• Suche: "Defect tracking (Computer software development)"

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1

Deterministic Record-and-Replay.
Quinn, Andrew ; Alvaro, Peter
Communications of the ACM. May2025, Vol. 68 Issue 5, p32-34. 3p.

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2

Advancing software fault detection: A comparative study of neural network architectures.
Gunda, Sai Krishna
AIP Conference Proceedings. 2026, Vol. 3345 Issue 1, p1-13. 13p.

DEFECT tracking (Compute... RECEIVER operating chara... GENERALIZATION NEURAL computers COMPUTATIONAL complexity
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3

CPDD: A Cross-Scenario Photovoltaic Defect Detector Based on Fine-Grained Feature Autoencoding and Pseudo-Box Contrastive Learning.
Wang, Zhaoyang ; Chen, Haiyong ; Cao, Zhen
IEEE Transactions on Semiconductor Manufacturing. Aug2025, Vol. 38 Issue 3, p612-623. 12p.

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4

CAG-Net: A Novel Change Attention Guided Network for Substation Defect Detection.
Xiang, Dao ; Du, Xiaofei ; Liu, Zhaoyang
Mathematics (2227-7390). Jan2026, Vol. 14 Issue 1, p178. 19p.

DETECTION algorithms DEFECT tracking (Compute... ARTIFICIAL neural networ...
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5

Deep multi-metrics learning for mobile app defect prediction using code and process metrics.
Abdu, Ahmed ; Abdo, Hakim A. ; Ullah, Inam ; et al.
Scientific Reports. 11/4/2025, Vol. 15 Issue 1, p1-21. 21p.

ANDROID (Operating syste... MOBILE apps DEFECT tracking (Compute... SOFTWARE measurement DEEP learning MODEL validation …
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6

Defect Prediction Tool for Object-Oriented Software.
Alsarraj, Rasha Gh.
Iraqi Journal of Science. 2025, Vol. 69 Issue 10, p4490-4501. 12p.

COMPUTER software qualit... DEFECT tracking (Compute... QUALITY assurance OBJECT-oriented programm... SOFTWARE measurement
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7

Prioritization Method for Crowdsourced Test Report by Integrating Text and Image Information.
Tu, Huijie ; Yao, Xiangjuan ; Gong, Dunwei ; et al.
Journal of Software: Evolution & Process. Sep2025, Vol. 37 Issue 9, p1-15. 15p.

CROWDSOURCING DEFECT tracking (Compute... DATA analysis
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8

To Catch a Failure: The Record-and-Replay Approach to Debugging.
O'Callahan, Robert ; Huey, Kyle ; O'Dell, Devon ; et al.
Communications of the ACM. Aug2020, Vol. 63 Issue 8, p34-42. 7p. 1 Color Photograph.

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9

Focusing on effective approach by enhancing accuracy by using agile methodology.
Kannan, G. ; Rajakumari, K.
AIP Conference Proceedings; 2026, Vol. 3345 Issue 1, p1-5, 5p

AGILE software developme... PROJECT management DEFECT tracking (Compute... SOFTWARE engineering SOFTWARE productivity
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10

An exploration of adaptive ensemble approaches in software fault detection: Balancing accuracy and robustness.
Gunda, Sai Krishna
AIP Conference Proceedings; 2026, Vol. 3345 Issue 1, p1-15, 15p

ENSEMBLE learning MACHINE learning DATA transformations (St... DEFECT tracking (Compute... ROBUST statistics STATISTICAL accuracy
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11

CLIP-MDC: CLIP encoder based multimodal defect classification with synthetic anomaly generation for real-time surface defect detection.
Ha, Taewon ; Hwang, Chaeseon ; Jeong, Jongpil
Journal of Intelligent Manufacturing. Jan2026, p1-23.

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12

Defect prediction guided greybox fuzz testing.
Jin, Haochen ; Cui, Zhanqi ; Zhang, Ruichen ; et al.
Journal of Systems & Software. Jan2026, Vol. 231, pN.PAG-N.PAG. 1p.

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14

Utilizing Machine Vision and Deep Learning for Quality Control in Pharmaceutical Lab Tools Manufactured Via Injection Molding.
Patel, Jenil ; Chauhan, Vedang
EPJ Web of Conferences; 12/19/2025, Vol. 343, p1-19, 19p

MATLAB (Computer softwar... QUALITY control DEEP learning MANUFACTURING industries AUTOMATION PHARMACEUTICAL industry …
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15

Software defect prediction using machine learning techniques.
Kumar, Nitin ; Sangwan, Om Prakash ; Beniwal, Sunita
AIP Conference Proceedings; 2025, Vol. 3357 Issue 1, p1-8, 8p

MACHINE learning SOFTWARE engineering PATTERN perception FAULT diagnosis RETROSPECTIVE studies DEFECT tracking (Compute... …
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16

Scalable artificial intelligence framework for defect detection in metal additive manufacturing.
Phan, Duy Nhat ; Jha, Sushant ; Mavo, James P. ; et al.
International Journal of Advanced Manufacturing Technology; Jan2026, Vol. 142 Issue 3/4, p1619-1633, 15p

CONVOLUTIONAL neural net... GENERATIVE adversarial n... THREE-dimensional printi... DEFECT tracking (Compute... DATA augmentation ARTIFICIAL intelligence …
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17

Real-time hybrid AI for strip steel surface monitoring in industry 4.0.
Sabri, Khier ; Gaceb, Mohamed
International Journal of Advanced Manufacturing Technology; Jan2026, Vol. 142 Issue 3/4, p1467-1493, 27p

DEEP learning INDUSTRY 4.0 ARTIFICIAL intelligence DEFECT tracking (Compute... OBJECT recognition (Comp... INSPECTION & review …
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18

基于多特征融合的集装箱船导轨缺陷检测算法.
李瑞 ; 张贤宇 ; 尤 尹 ; et al.
Journal of Dalian University of Technology / Dalian Ligong Daxue Xuebao. Jan2026, Vol. 66 Issue 1, p86-93. 8p.

Container ships Multisensor data fusion Adaptive sampling (Stati... Defect tracking (Compute...
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19

Improved YOLOv9 with Dual Convolution and LSKA Attention for Robust Small Defect Detection in Textiles.
Xuan, Chang ; Shi, Weimin ; Sun, Lei ; et al.
Processes; Jan2026, Vol. 14 Issue 1, p149, 21p

DETECTION algorithms CONVOLUTIONAL neural net... DEFECT tracking (Compute... COMPUTER vision FEATURE extraction MATHEMATICAL optimizatio... …
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20

Deep Learning Architectures for Software Fault Prediction: The Impact of Error‐Type Metrics and Class Imbalance.
Phung, Khoa ; Aydin, Mehmet E. ; Ogunshile, Emmanuel
Concurrency & Computation: Practice & Experience; Jan2026, Vol. 38 Issue 1, p1-24, 24p

DEEP learning ARTIFICIAL neural networ... DEFECT tracking (Compute... EVALUATION methodology FAILURE analysis
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