Assess Code Merging Risk in Repositories using AI to Improve Continuous Integration Pipelines
Keywords:
continuous integration, AI-powered risk assessment, agile developmentAbstract
Continuous integration pipeline in software development boosts the code quality and agility. Code merging, risk assessment, and build stability are very difficult in large repositories. This study explains the role of AI in continuous integration pipeline’s code merging risk assessment. By leveraging the power of ML and NLP in the risk assessment system, we can improve code quality, decrease bugs and security threats, and automate risk assessment which provide developers real time insights, and improve huge repository decision making.
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References
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