Developers are using #AI to help improve every stage of the software development process, such as;
#DigitalAssistants analyze requirements documents, flag ambiguities and inconsistencies, and suggest improvements. These tools are powered by natural language processing and trained on widely referenced guidelines for writing high-quality requirements.
AI-powered code completion tools provide recommendations for completing lines of code.
• #Testing;
Multilevel #TestCases can be generated automatically by AI Assistance
• #Deployment;
#ArtificialIntelligence is helping to predict deployment failure ahead of time by examining data such as statistics from prior code releases and application logs.
A number of startups have introduced tools that apply advanced analytics to the data from large numbers of prior software projects to predict the technical tasks, engineering resources, and timelines that new software projects will require.
Summarised from Deloitte.com https://bit.ly/3jQBbn0
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