Treffer 161 - 180 von 378

161

An Approach to Software Defect Prediction Combining Semantic Features and Code Changes.
Tao, Chuanqi ; Wang, Tao ; Guo, Hongjing ; et al.
International Journal of Software Engineering & Knowledge Engineering. Sep2022, Vol. 32 Issue 9, p1345-1368. 24p.

FORECASTING COMPUTER software SOFTWARE measurement MACHINE learning
Fachzeitschrift
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162

Bridging the gap between testing and debugging through explainable deep oracles
Ibrahimzada, Ali Reza ; Jabbarvand, Reyhaneh

Software Testing Deep Learning
Dissertation
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163

AI-assisted Digitalization of Landscaping plans
Löffler, Kevin

Software Modeling Java Script Docker IFS (Institute for Softw...
Dissertation
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167

Classifying Code Commits with Convolutional Neural Networks
Na Meng ; Hao Zhong ; Zijian Jiang
2021 International Joint Conference on Neural Networks (IJCNN). :1-8

0202 electrical engineer... 02 engineering and techn...
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168

Mining Likely Analogical APIs Across Third-Party Libraries via Large-Scale Unsupervised API Semantics Embedding
Chunyang Chen ; Zhenchang Xing ; Yang Liu ; et al.
IEEE Transactions on Software Engineering. 47:432-447

Libraries 0202 electrical engineer... Computer science and eng... 02 engineering and techn... Engineering::Computer sc... Semantics
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169

IoT-based control and monitoring system for hydroponic plant growth using image processing and mobile applications.
Rofiansyah W ; Zalianty FR ; La Ito FA ; et al.
Publisher: PeerJ Inc Country of Publication: United States NLM ID: 101660598 Publication Model: eCollection Cited Medium: Internet ISSN: 2376-5992 (Electronic) Linking ISSN: 23765992 NLM ISO Abbreviation: PeerJ Comput Sci Subsets: PubMed not MEDLINE

Fachzeitschrift
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170

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171

Desarrollo de una tiflo-aplicación Android para el reconocimiento de códigos QR ; Development of an Android tiflo-application for QR code recognition
Bogado Villalba, Mónica ; Lucas Simón, Antonio ; Mordillo Mendoza, Miguel ; et al.

004(043.3) QR Lector de códigos Accesibilidad Visión por computador Aprendizaje automático
Dissertation
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172

Learning to Spot and Refactor Inconsistent Method Names
Interdisciplinary Centre for Security, Reliability and Trust (SnT) > Security Design and Validation Research Group (SerVal) [research center] ; Fonds National de la Recherche - FnR [sponsor] ; Liu, Kui ; et al.

E-Ressource
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173

Feature Envy Detection based on Bi-LSTM with Self-Attention Mechanism
Haiying Sun ; Hongze Wang ; Hui Wang ; et al.
2020 IEEE Intl Conf on Parallel & Distributed Processing with Applications, Big Data & Cloud Computing, Sustainable Computing & Communications, Social Computing & Networking (ISPA/BDCloud/SocialCom/SustainCom). :448-457

0202 electrical engineer... 02 engineering and techn...
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174

Supporting Program Comprehension through Fast Query response in Large-Scale Systems
Jane Cleland-Huang ; Jinfeng Lin ; Yalin Liu
Proceedings of the 28th International Conference on Program Comprehension. :285-295

0202 electrical engineer... 02 engineering and techn...
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175

BuGL -- A Cross-Language Dataset for Bug Localization
A. Eashaan Rao ; Sandeep Muvva ; Sridhar Chimalakonda
arXiv: Software Engineering.

Software Engineering (cs... FOS: Computer and inform... Computer Science - Softw... 0202 electrical engineer... 02 engineering and techn...
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176

Chapter 5 From evolution to revolution: the contemporary development of quantum computing
Kirubakaran, Stewart S. ; Senthil Kumar, R. ; Bamini, Anusha A. M. ; et al.
Quantum Computing and Artificial Intelligence: Training Machine and Deep Learning Algorithms on Quantum Computers. :85-106

Buch
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177

Global research landscape on artificial intelligence in arthroplasty: A bibliometric analysis
Li, Zhuo ; Maimaiti, Zulipikaer ; Fu, Jun ; et al.
DIGITAL HEALTH ; volume 9 ; ISSN 2055-2076 2055-2076

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178

A new approach to software defect prediction based on convolutional neural network and bidirectional long short-term memory
Nehéz, Károly ; Khleel, Nasraldeen Alnor Adam
Production Systems and Information Engineering. 10:1-15

T2 Technology (General)... QA76 Computer software /...
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179

On Empirically Examining The Effectiveness Of Deep Learning-Based Bug Localization Models
Sravya Sravya

Neurocognitive patterns... Computer security -- Tec... Computer software -- Dev... Debugging in computer sc... Neural networks (Compute... Traffic signs and signal...
Dissertation
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180

On Empirically Examining The Effectiveness Of Deep Learning-Based Bug Localization Models
Sravya, Sravya (Author) ; Miranskyy, Andriy (Author) ; Bener, Ayse (Author) ; et al.

Computer security -- Tec... Computer software -- Dev... Debugging in computer sc... Neural networks (Compute... Traffic signs and signal... Logits
Dissertation
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