The Impact of AI Tools in the Software Development Industry
How AI tools are optimizing the software development life cycle
Artificial Intelligence is revolutionizing the entire Software Development Life Cycle (SDLC). From the embryonic stage of the technological product idea conception to the development, testing, and deployment of the final product, AI tools can help software developers work faster and more efficiently.
What you'll learn in this whitepaper:
We are breaking down the benefits of six types of AI tools that can be used to optimize the entire SDLC, including:
AI-powered requirements management
AI tools that can support software requirement analysis and management
AI-powered project management
AI tools that can strengthen resource and activity planning
AI-powered design
AI tools that can support the design and creation of the User Interface (UI)
Machine learning on source code
AI tools that can easily and quickly create code to eliminate repetitive tasks and optimize the bug-fixing phase
AI-powered testing
AI tools that can make application testing activities smarter and more efficient
AI-powered ops
AI tools that can assist with DevOps reference phases such as resource sizing, troubleshooting, monitoring, and deployment
This whitepaper originally appeared on Reply's website. Spur Reply is a part of the Reply group of companies.