How AI Powered Tools Are Bringing Revolution to Software Development?
- by 7wData
Artificial Intelligence (AI) has impacted all industries and digital manoeuvres beyond measure. software development stands at the forefront of receiving this huge impact, is no exception. As industry experts pointed out, every aspect of the software development lifecycle is likely to be benefited by AI and Machine Learning technologies. Right from predicting project timeline to software delivery estimation to bug fixing and coding assistance and testing, AI and Machine Learning can help to programme in multiple ways.
AI and Machine Learning as of now have only been utilised through some tools built for specific development purposes. In the coming years, AI and ML can be part of Software as a Service (SaaS) package as well. Already AI-powered algorithms are taken up by cloud services, and now it is time for AI tools to get packaged through subscription-based services.
Before explaining the actual benefits of AI for software development process let us have a look at some real-world examples from the recent past about integrating AI into the software development cycle.
Now let us explain the key ways AI can play a significant role in software programming.
Any experienced mobile app development company that worked on too many projects of different length and complexities can easily give a near-perfect estimation of the delivery of the software. However, some factors like a lot of coding errors and accommodating client requests during the projects can lead to unwanted delay beyond the delivery schedule. Artificial Intelligence (AI) in this respect can help development companies give the most precise delivery time as AI based analytics, and Machine Learning can analyse a lot of data from similar types of projects.
AI can ensure predicting more precise project timelines and deadlines by utilising all types of software project data including features, estimated timeline for each feature, employee profiles and track record, project timeline for similar projects, etc. AI can make a more precision-driven prediction compared to estimation by manpower that is more unlikely to take into consideration every detailed aspect.
AI-based programming assistants are already gaining popularity among advanced developers.
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