Smart Software Development A Review on AI-Driven Productivity in Coding, Automated Testing, and Deployment Practices
DOI:
https://doi.org/10.63282/3050-9246.IJETCSIT-V5I1P117Keywords:
Smart Software Development, Artificial Intelligence, AI Assisted Coding, Devops, CI/CDAbstract
A novel approach to software development called "smart software development" makes use of artificial intelligence (AI) to boost output, enhance overall quality, and produce more dependable software across the Software Development Life Cycle (SDLC). It provides a complete overview of how AI-based methods can be used in the areas of coding, automated testing, and deployment practices. Specifically, discuss how machine learning, natural language processing, deep learning, and search-based optimization are used to automate the generation of code, improve the process of reviewing code, support enhanced refactoring using an intelligent algorithm, and enable a more effective detection of defects. In addition, review the use of AI-enabled techniques within the DevOps processes, including smart solution generation, proactive and intelligent monitoring and alerting, self-healing systems, and automated deployment. It synthesis of the most current research demonstrates an increase in the level of productivity gained through AI-enabled techniques, a decrease in the amount of manual work, as well as an increase in the quality of the software produced. The summary shows that for modern software systems to be successful, the integration of all components (from development through testing to deployment) with AI-based techniques is crucial for achieving the highest level of efficiency and adaptability.
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