【論文筆記】Improving Automatic Source Code Summarization via Deep Reinforcement Learning
Improving Automatic Source Code Summarization via Deep Reinforcement Learning 1 本文背景 軟件維護佔據軟件開發生命週期很大一部分，提供代碼執行任務的描述對於軟件維護來說是必須的，然而註釋代碼仍然是一項勞動密集型的任務，使得真實的軟件項目很少具備充分的代碼文檔以減少未來的維護成本。 本文作者提出：一個好的註釋論至少應該具
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相關文章
- 1. 【論文筆記】 Reinforcement-Learning-Guided Source Code Summarization using Hierarchical Attention
- 2. 論文筆記 | MathDQN: Solving Arithmetric Word Problems via Deep Reinforcement Learning
- 3. 論文筆記：《Playing Atari with Deep Reinforcement Learning》
- 4. Framework of Automatic Text Summarization Using Reinforcement Learning
- 5. 【論文筆記】Deep Metric Learning via Facility Location
- 6. 論文筆記：Learning how to Active Learn: A Deep Reinforcement Learning Approach
- 7. Query-Oriented Multi-Document Summarization via Unsupervised Deep Learning
- 8. 論文閱讀筆記《Ranking Sentences for Extractive Summarization with Reinforcement Learning》
- 9. 【論文筆記】Recommendations for Datasets for Source Code Summarization
- 10. 論文筆記 Cross-modal Bidirectional Translation via Reinforcement Learning