NLP-Based Automated Release Notes from CI/CD Commit Messages

Author(s)	Shally Garg
Country	United States
Abstract	Natural Language Processing (NLP) and AI/ML inCI/CD pipelines is changing the automation of release note generation by improving efficiency, accuracy, and contextual relevance. Notable advancements include transformer-based models for enhanced summarization, adaptive learning techniques for tailored documentation, and Explainable AI (XAI) for more transparency. These advancements improve the coherence, interpretability, and user focus of AI-generated release notes, hence streamlining software development processes. Recent developments highlight real-time learning, accurate fine-tuning, and improved DevOps integration, ensuring automated, high-quality software documentation for various stakeholders discovery.
Keywords	Natural Language Processing, AI-Powered Release Notes, Context-Aware Text Generation, Real-Time NLP, Domain-Specific Fine-Tuning, Release Note Generation, AI for Devops, Observability Tools, Commit Message Analysis
Field	Engineering
Published In	Volume 12, Issue 2, July-December 2021
Published On	2021-10-07
Cite This	NLP-Based Automated Release Notes from CI/CD Commit Messages - Shally Garg - IJAIDR Volume 12, Issue 2, July-December 2021. DOI 10.71097/IJAIDR.v12.i2.1292
DOI	https://doi.org/10.71097/IJAIDR.v12.i2.1292
Short DOI	https://doi.org/g99tfc

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