FIBRES trend data sets are curated collections of trends and technologies, generated with the help of artificial intelligence, to accelerate your foresight work.
Start your foresight with software development trends
What are the most important trends shaping the future of software development? Start building your own futures intelligence on top of this data set featuring software trends and technologies.
Future of software
The future of software development holds significant potential and is poised to reshape industries and human interaction with technology. As technological advancements accelerate, software development is undergoing a paradigm shift that encompasses various innovative approaches, tools, and practices. This transformation promises to revolutionize the way software is created, deployed, and utilized.
Example trends in this data set
Get these pre-written software trends for your futures intelligence.
Zero-trust architecture adoption
Zero-trust architecture involves treating all users and devices as potentially untrusted, requiring constant verification. This trend focuses on its broader adoption to enhance security and minimize the impact of potential breaches.
Accessibility-first development
Accessibility-first development prioritizes creating software that is usable by individuals with disabilities. This trend encompasses designing interfaces for various needs, enhancing inclusivity and ensuring equal access to digital resources.
Emotionally intelligent user interfaces
Emotionally intelligent user interfaces use AI to understand and respond to users' emotional states, enhancing engagement and personalizing experiences to create more empathetic and human-centered interactions.
Auto-coding with GPT-4
Auto-coding leverages advanced AI models like GPT-4 to generate code snippets, automate repetitive coding tasks, and provide suggestions to developers. These models learn from vast code repositories and assist developers in speeding up the coding process.
AI-enhanced intrusion detection
Leveraging artificial intelligence for advanced intrusion detection systems that can identify and respond to cyber threats in real-time, enhancing the ability to detect and mitigate security breaches.
AI-driven bug prediction
AI-driven bug prediction employs machine learning algorithms to analyze historical code changes and patterns to predict potential software bugs. This proactive approach aids developers in identifying and addressing issues before they escalate.
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Start with this data set
FIBRES is a tool for building your own futures intelligence. With this data set, you can start your foresight work with a pre-written selection of 35+ software trends. You can access this data set and others like it for free during your 30-day trial.
Trends and trend radars ready for you to start building on
Looking to spot future trends but not sure where to begin? Our pre-built trend data sets are the perfect starting point. Covering over 1,000+ trends and technologies across industries, they’ll help you launch your foresight activities faster than ever.
If you have something special in mind, FIBRES can build you a custom trend data set on your topic of interest. Book a demo to find out more.
Start with this data set
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