Microsoft patents AI tool to rank software tasks by user behavior
Microsoft describes a system that analyzes how people use software to identify what matters most. It uses an AI model to summarize these usage patterns and then ranks development tasks based on how closely they match those patterns.
In the filing’s own words
Systems, methods, devices, and computer readable storage media described herein provide techniques for prioritizing software development using a trained model. In an aspect, model features are determined based on analysis of user behavior with respect to a software application. A software development prioritization (SDP) system determines data associated with the model features and utilizes a generative artificial intelligence (AI) model to summarize the model features based on the determined data. The SDP system determines, based on the summaries, a similarity between software development items and the model features and prioritizes one of the software development items over another based on the determined similarities. In a further embodiment, the SDP system causes a software development task corresponding to the prioritized software development item to be performed before another software development task corresponding to a different software development item. In an aspect, model features are determined utilizing a trained machine learning model.
What exactly they claim (claim 1)
1. A system, comprising: a processor circuit; and a memory device that stores program code executable by the processor circuit to: determine data associated with a first model feature of a trained machine learning (ML) model, provide the determined data to a generative artificial intelligence (AI) model, receive, from the generative AI model, a first feature summary of the first model feature, determine a set of similarities based on the first feature summary, the set of similarities comprising: a first similarity between a first software development item and the first model feature, and a second similarity between a second software development item and the first model feature, prioritize the first software development item based on the set of similarities; and perform a software development task corresponding to the first software development item prior to a second software development task corresponding to the second software development item.
Facts
- Company
- Microsoft (Microsoft Technology Licensing, LLC)
- Official title
- SOFTWARE DEVELOPMENT PRIORITIZATION USING TRAINED MODEL
- Publication number
- US20260288458A1
- Application number
- 19692712
- Filed
- May 29, 2026
- Published
- Sep 24, 2026
- Inventors
- 4
- Claims
- 20
Classified under
G06F 8/77 Physics & computingMore from Microsoft in AI & software
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Summaries are simplified from the filing’s own abstract and first claim. A patent filing is not a product announcement.
Patent data and drawings: U.S. Patent and Trademark Office (USPTO). Nebula is not affiliated with or endorsed by the USPTO.