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41

LeONet: A Hybrid Deep Learning Approach for High-Precision Code Clone Detection Using Abstract Syntax Tree Features.
Vijayanandan, Thanoshan ; Banujan, Kuhaneswaran ; Induranga, Ashan ; et al.
Big Data & Cognitive Computing; Jul2025, Vol. 9 Issue 7, p187, 27p

DEEP learning FEATURE extraction RESEARCH methodology DATA structures ARTIFICIAL neural networ... SOFTWARE maintenance
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42

KLASIFIKASI PENUTUPAN/PENGGUNAAN LAHAN DARI CITRA LANDSAT 8 DENGAN PENDEKATAN RANDOM FOREST DAN SUPPORT VECTOR MACHINE DI KABUPATEN SUMEDANG, JAWA BARAT.
Harmoko, Joycelyn ; Munibah, Khursatul ; Ardiansyah, Muhammad
Journal of Soil Science & Environment / Jurnal Ilmu Tanah dan Lingkungan. Apr2025, Vol. 27 Issue 1, p24-31. 8p.

ZONING LAND cover ENSEMBLE learning SUPPORT vector machines RANDOM forest algorithms
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43

Source code-based defect prediction using deep learning and transfer learning.
Saifan, Ahmad A. ; Al Smadi, Nawzat
Intelligent Data Analysis. 2019, Vol. 23 Issue 6, p1243-1269. 27p.

COMPUTER software qualit... DEEP learning BUILDING failures KNOWLEDGE transfer MACHINE learning
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44

A comprehensive machine learning approach for predictive dairy cow health monitoring across pre, during, and Post-COVID eras.
Munisamy, Balamurugan ; Loganathan, Vijay ; Gopi, Varsha ; et al.
AIP Conference Proceedings. 2025, Vol. 3279 Issue 1, p1-5. 5p.

COVID-19 pandemic MACHINE learning COMPOSITION of milk COVID-19 MACHINE tools
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45

Corporate Memory Management through Agents: The CoMMA project final report
Berthelot, Laurent ; Bourdeau, Marc ; Corby, Olivier ; et al.
[Research Report] Inria. 2002. :61-61

Graphical User Interface RDF Java Multi agent system Agents XML …
Report
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46

The Good, the Bad, and the Monstrous: Predicting Highly Change-Prone Source Code Methods at Their Inception.
Chowdhury, Shaiful
ACM Transactions on Software Engineering & Methodology; Sep2025, Vol. 34 Issue 7, p1-29, 29p

SOFTWARE maintenance MACHINE learning SUBROUTINES (Computer pr... COMPUTER software develo... PARETO principle DEFECT tracking (Compute... …
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47

Heuristics for the Intelligent Prediction of Population Growth
Oshoiribhor, Orukpe, Austin ; Ovuolelolo, Okorodudu Franklin ; C, Omede Gracious ; et al.
Asian Journal of Research in Computer Science. 17(9):27-38

Intelligent prediction p... Intelligent prediction population growth mathematical modeling algorithms machine learning models …
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48

Using deep temporal convolutional networks to just-in-time forecast technical debt principal
Ardimento, Pasquale ; Aversano, Lerina ; Bernardi, Mario Luca ; et al.
In The Journal of Systems & Software December 2022 194

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49

Software Vulnerability Mining and Analysis Based on Deep Learning.
Zhao, Shibin ; Zhu, Junhu ; Peng, Jianshan
Computers, Materials & Continua; 2024, Vol. 80 Issue 2, p3263-3287, 25p

MACHINE learning ARTIFICIAL neural networ... ARTIFICIAL intelligence COMPUTER software develo... COMPUTER security vulner... DEEP learning
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50

Automatic Categorization with Deep Neural Network for Open-Source Java Projects.
Anh Tuan Nguyen ; Nguyen, Tien N.
ICSE: International Conference on Software Engineering; 2017, p164-166, 3p

ARTIFICIAL neural networ... JAVA programming languag... MACHINE learning SUPPORT vector machines NAIVE Bayes classificati... COMPUTER vision …
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51

An ensemble meta-estimator to predict source code testability
Zakeri-Nasrabadi, Morteza ; Parsa, Saeed
In Applied Soft Computing Journal November 2022 129

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52

Fusion features for optimizing software defect detection using a graph neural network algorithm.
Zhang, Yingshi ; Yi, Dandan ; Wu, Siyu ; et al.
Intelligent Decision Technologies; Sep2025, Vol. 19 Issue 5, p2911-2929, 19p

GRAPH neural networks DEFECT tracking (Compute... BIPARTITE graphs MACHINE learning
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53

Exploring Transfer Learning for Multilingual Software Quality: Code Smells, Bugs, and Harmful Code.
Lima, Rodrigo ; Souza, Jairo ; Fonseca, Baldoino ; et al.
Journal of Software Engineering Research & Development; 2025, Vol. 13 Issue 1, p230-240, 11p

MACHINE learning SOFTWARE engineering QUALITY assurance OPEN source software TRANSFER of training DESIGN failures
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54

An application of deep learning technique to improve S2S Rainfall Forecast over Java Island, Indonesia.
Raharja, Adyaksa Budi ; Faqih, Akhmad ; Setiawan, Amsari Mudzakir
Journal of Natural Resources & Environment Management / Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan; 2022, Vol. 12 Issue 4, p587-598, 12p

JAVA (Indonesia) DEEP learning SPATIAL analysis (Statis... STATISTICAL correlation HAZARDS
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55

Measuring and improving software testability at the design level
Zakeri-Nasrabadi, Morteza ; Parsa, Saeed ; Jafari, Sadegh
In Information and Software Technology October 2024 174

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56

Multi-type requirements traceability prediction by code data augmentation and fine-tuning MS-CodeBERT
Majidzadeh, Ali ; Ashtiani, Mehrdad ; Zakeri-Nasrabadi, Morteza
In Computer Standards & Interfaces August 2024 90

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57

An empirical investigation into the capabilities of anomaly detection approaches for test smell detection
Pontillo, Valeria ; Martins, Luana ; Machado, Ivan ; et al.
In The Journal of Systems & Software April 2025 222

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58

Smell-ML: A Machine Learning Framework for Detecting Rarely Studied Code Smells
Esraa Hamouda ; Abeer El-Korany ; Soha Makady
IEEE Access, Vol 13, Pp 12966-12980 (2025)

Code smell detection machine learning data balancing ensemble learning multi-level classificati... Electrical engineering.... …
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59

Learning Deep Semantics for Test Completion.
Nie, Pengyu ; Banerjee, Rahul ; Li, Junyi Jessy ; et al.
ICSE: International Conference on Software Engineering; 2023, p2111-2123, 13p

COMPUTER software develo... DEEP learning COMPUTER software testin... OPEN source software JAVA programming languag...
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60

“Forecasting Cloud Application Workloads with Cloud Insight for Predictive Resource Management”.
MANOJKUMAR, G. ; NIKHIL, PUPPALA.
International Scientific Journal of Engineering & Management; Jul2025, Vol. 4 Issue 7, p1-11, 11p

ENSEMBLE learning TIME series analysis MACHINE learning SUPPORT vector machines CLOUD computing
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