Treffer 221 - 240 von 1.637

221

Predictability of sea surface temperature anomalies at the eastern pole of the Indian Ocean Dipole—using a convolutional neural network model
Ming Feng ; Fabio Boschetti ; Fenghua Ling ; et al.
Frontiers in Climate, Vol 4 (2022)

sea surface temperature... eastern Indian Ocean prediction model machine learning (ML) convolutional neural net... Indian Ocean Dipole (IOD...
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222

ITER: Iterative Neural Repair for Multi-Location Patches
Ye, He ; Monperrus, Martin
Proceedings of International Conference on Software Engineering, 2024

Computer Science - Softw... Computer Science - Machi...
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223

Static test flakiness prediction: How Far Can We Go?
Pontillo V ; Palomba F ; Ferrucci F
Publisher: Springer US Country of Publication: United States NLM ID: 101769304 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1573-7616 (Electronic) Linking ISSN: 13823256 NLM ISO Abbreviation: Empir Softw Eng Subsets: PubMed not MEDLINE

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224

基于混合注意力机制的软件缺陷预测方法. (Chinese)
刁旭炀 ; 吴凯 ; 陈都 ; et al.
Computer Measurement & Control; Mar2023, Vol. 31 Issue 3, p56-70, 8p

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225

Method Level Refactoring Prediction on Five Open Source Java Projects using Machine Learning Techniques
Lov Kumar ; Shashank Mouli Satapathy ; Lalita Bhanu Murthy
Proceedings of the 12th Innovations in Software Engineering Conference (formerly known as India Software Engineering Conference). :1-10

0202 electrical engineer... 02 engineering and techn...
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226

Learning Semantic Program Embeddings with Graph Interval Neural Network
Wang, Yu ; Gao, Fengjuan ; Wang, Linzhang ; et al.

Computer Science - Softw... Computer Science - Machi... Computer Science - Progr...
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227

Thermal Comfort Projection on Northern Coast of Central Java Using Machine Learning
Afandi, Afandi ; Aji Supriyanto
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi); Vol 9 No 4 (2025): August 2025; 865-878

coastal north central ja... temperature humidity ind... thermal comfort random forest (RF) XGBoost
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228

PENTACET data -- 23 Million Contextual Code Comments and 250,000 SATD comments
Sridharan, Murali ; Rantala, Leevi ; Mäntylä, Mika

Computer Science - Softw... Computer Science - Machi...
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229

Introduction to the special issue on software maintenance and evolution research.
Guéhéneuc, Yann-Gaël ; Mens, Tom
Empirical Software Engineering; Oct2015, Vol. 20 Issue 5, p1193-1197, 5p

SOFTWARE maintenance SOFTWARE ecosystems MACHINE learning
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230

Detecting Refactoring Commits in Machine Learning Python Projects: A Machine Learning-Based Approach
Shayan Noei ; Heng Li ; Ying Zou
ACM Transactions on Software Engineering and Methodology. 34:1-25

Software Engineering (cs... FOS: Computer and inform... Computer Science - Softw... 0202 electrical engineer... 02 engineering and techn...
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231

Unit Test Case Generation with Transformers and Focal Context
Tufano, Michele ; Drain, Dawn ; Svyatkovskiy, Alexey ; et al.

Computer Science - Softw... Computer Science - Compu... Computer Science - Machi...
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232

Unsupervised Machine Learning for Effective Code Smell Detection: A Novel Method
Gupta, Ruchin ; Kumar, Narendra ; Kumar, Sunil ; et al.
Journal of Communications Software and Systems, Vol 20, Iss 4, Pp 307-316 (2024)
Journal of Communications Software and Systems
Volume 20
Issue 4

QA76.75-76.765 open-source Java project... open-source java project... Computer software Code Smell code smell
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233

Req2Lib: A Semantic Neural Model for Software Library Recommendation
Sun, Zhensu ; Liu, Yan ; Cheng, Ziming ; et al.
2020 IEEE 27th International Conference on Software Analysis, Evolution and Reengineering (SANER)

Computer Science - Softw... Computer Science - Infor... Computer Science - Machi...
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234

Role stereotypes in software designs and their evolution.
Ho-Quang, Truong ; Nurwidyantoro, Arif ; Rukmono, Satrio Adi ; et al.
Journal of Systems & Software. Jul2022, Vol. 189, pN.PAG-N.PAG. 1p.

OBJECT-oriented programm... SOFTWARE architecture RANDOM forest algorithms DESIGN software STEREOTYPES
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235

Nonlinear regression models for software size estimation of Data Science and Machine Learning Java-applications
Oleksandr Oriekhov ; Tetyana Farionova ; Liubava Chernova ; et al.
Proceedings of the 5th International Workshop IT Project Management (ITPM 2024). :54-66

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236

CORE: Automating Review Recommendation for Code Changes
Siow, JingKai ; Gao, Cuiyun ; Fan, Lingling ; et al.

Computer Science - Softw... Computer Science - Machi...
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237

AISO: Annotation of Image Segments with Ontologies.
Lingutla, Nikhil Tej ; Preece, Justin ; Todorovic, Sinisa ; et al.
Journal of Biomedical Semantics; 2014, Vol. 5 Issue 1, p42-53, 12p

ONTOLOGIES (Information... TAXONOMY ORGANISMS DIGITAL images COMPUTER vision MACHINE learning
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238

Using software metrics for predicting vulnerable classes and methods in Java projects: A machine learning approach
Kazi Zakia Sultana ; Vaibhav Anu ; Tai‐Yin Chong
Journal of Software: Evolution and Process. 33

0202 electrical engineer... 02 engineering and techn...
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239

Software defect prediction using hybrid model (CBIL) of convolutional neural network (CNN) and bidirectional long short-term memory (Bi-LSTM)
Ahmed Bahaa Farid ; Enas Mohamed Fathy ; Ahmed Sharaf Eldin ; et al.
PeerJ Computer Science, Vol 7, p e739 (2021)

Defect Software defect predicti... Abstract syntax tree Machine learning Deep learning Convolutional neural net...
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240

Learning to predict test effectiveness
Zakeri-Nasrabadi, Morteza ; Parsa, Saeed
Int J Intell Syst. 2022; 37: 4363- 4392

Computer Science - Softw... Computer Science - Machi...
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