mlsanityData to 7 Oct 2026

Utilizing Deep Learning to Optimize Software Development Processes

arXiv 2404.13630 ↗First posted 21 Apr 2024cs.SE cs.AI cs.CLcited by 15

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Abstract (arXiv)

This study explores the application of deep learning technologies in software development processes, particularly in automating code reviews, error prediction, and test generation to enhance code quality and development efficiency. Through a series of empirical studies, experimental groups using deep learning tools and control groups using traditional methods were compared in terms of code error rates and project completion times. The results demonstrated significant improvements in the experimental group, validating the effectiveness of deep learning technologies. The research also discusses potential optimization points, methodologies, and technical challenges of deep learning in software development, as well as how to integrate these technologies into existing software development workflows.

Key facts. Cited by 15 papers in the map (data through 7 Oct 2026). Builds on 14 of its 29 references that are in the map. First posted on arXiv 21 Apr 2024.

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14 of 29 references.

References · 14

  1. 2023NDC-Scene: Boost Monocular 3D Semantic Scene Completion in Normalized Device Coordinates Spacecited by 88
  2. 2024Large Language Models for Forecasting and Anomaly Detection: A Systematic Literature Reviewcited by 50
  3. 2023Improving Depth Gradient Continuity in Transformers: A Comparative Study on Monocular Depth Estimation with CNNcited by 35
  4. 2024DDN-SLAM: Real-time Dense Dynamic Neural Implicit SLAMcited by 22
  5. 2024Particle Filter SLAM for Vehicle Localizationcited by 20
  6. 2024News Recommendation with Attention Mechanismcited by 14
  7. 2024Rumor Detection with a novel graph neural network approachcited by 14
  8. 2023Building Lane-Level Maps from Aerial Imagescited by 12
  9. 2024Image Captioning in news report scenariocited by 11
  10. 2024Jointly Learning Selection Matrices For Transmitters, Receivers And Fourier Coefficients In Multichannel Imagingcited by 7
  11. 2024Research on emotionally intelligent dialogue generation based on automatic dialogue systemcited by 5
  12. 2023Physics-informed Convolutional Recurrent Surrogate Model for Reservoir Simulation with Well Controlscited by 4
2 more
  1. 2023Transfer learning-based physics-informed convolutional neural network for simulating flow in porous media with time-varying controlscited by 4
  2. 2024Optimization of Pressure Management Strategies for Geological CO2 Sequestration Using Surrogate Model-based Reinforcement Learningcited by 4

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Citing papers per year: 2024: 14; 2025: 1.

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  1. 2024Automatic News Generation and Fact-Checking System Based on Language Processingcited by 22
  2. 2024Enhance Image-to-Image Generation with LLaVA-generated Promptscited by 20
  3. 2024Image anomaly detection and prediction scheme based on SSA optimized ResNet50-BiGRU modelcited by 18
  4. 2024Efficiency optimization of large-scale language models based on deep learning in natural language processing taskscited by 14
  5. 2024Predict Click-Through Rates with Deep Interest Network Model in E-commerce Advertisingcited by 10
  6. 2024Advanced AI Framework for Enhanced Detection and Assessment of Abdominal Trauma: Integrating 3D Segmentation with 2D CNN and RNN Modelscited by 9
  7. 2024Recording Brain Activity While Listening to Music Using Wearable EEG Devices Combined with Bidirectional Long Short-Term Memory Networkscited by 8
  8. 2024Advancements in Feature Extraction Recognition of Medical Imaging Systems Through Deep Learning Techniquecited by 7
  9. 2024Deep Learning in Medical Image Classification from MRI-based Brain Tumor Imagescited by 7
  10. 2024Comprehensive Overview of Artificial Intelligence Applications in Modern Industriescited by 6
  11. 2024Advanced Multimodal Deep Learning Architecture for Image-Text Matchingcited by 4
  12. 2024Analysis and Design of a Personalized Recommendation System Based on a Dynamic User Interest Modelcited by 4
3 more
  1. 2024Detecting and Classifying Defective Products in Images Using YOLOcited by 2
  2. 2025Optimizing Code Runtime Performance through Context-Aware Retrieval-Augmented Generationcited by 1
  3. 2024Research on Edge Detection of LiDAR Images Based on Artificial Intelligence Technologycited by 0