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Honeywell AerospacePatent grant

Honeywell Aerospace was granted a patent for AI-driven software testing.

What happened

In September 2026 Honeywell Aerospace patented technology for turning written software requirements into organized test cases, supporting verification in aerospace and other safety-critical systems.

Source

Abstract

A system includes processor(s) configured to: receive natural language text describing software requirements for software program; analyze natural language text describing software requirements to identify relationships between different software requirements at least in part by: analyzing how data flows between different software requirements; analyzing how different software requirements influence path and decision points to achieve functionality identified by software requirements; and identifying dependencies between different software requirements; establish sequence for different software requirements based on relationships identified between different software requirements; group plurality of different software requirements together into logical group(s) of software requirements based on sequence for different software requirements and relationships between different software requirements; generate test cases based on logical group(s) of software requirements; execute software program using test cases; and analyze results of execution of software program using test cases to identify any defects in software program.

patents.google.com/patent/US12748683Read the full source

Extracted by Autobound

From the Signal API record
Signal
Patent grant

What this signalsA new patent often shows where a company is putting its R&D budget.

Grant date
Sep 29, 2026
Inventors
4
Tech area
software / computing
Patent number
US12748683

The full record

From the Signal API record

People

  • Aralakuppe Ramegowda YogeshaInventor
  • Jayakumar S SInventor
  • Srikanth NagarajInventor
  • Pradeep SadanandaInventor

Details

Primary CPC class
G06F 11/3688 (Electric digital data processing)
USPTO assignee
Honeywell Aerospace US LLC
What the invention does
A system that uses a language model to connect related requirements by following data flow and decision paths, then creates tests for the resulting software behavior.

Topics and mentions

Tags

  • Intellectual Property
  • Research & Development
  • Artificial Intelligence
  • Machine Learning
  • Quality Assurance

Technologies named

  • large language models
  • software testing
  • requirements analysis
  • test-case generation

Extraction

Detected
Sep 30, 2026
signal_type
patents-company
signal_subtype
patentGrant

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This page shows a preview. The full patents-company record in the Signal API and MCP can also have these 8 fields. Some fields are empty for some signals.

Company

  • linkedin_urlValue in the API
  • industriesValue in the API
  • employee_count_lowValue in the API
  • employee_count_highValue in the API
  • revenueValue in the API
  • descriptionValue in the API

Signal

  • signal_nameValue in the API
  • associationValue in the API
Show the full JSONThe record on this page and the API request

GET /v1/signals/2dbb812e-3d7b-58c0-83b9-35fdad78e32a returns this record as JSON. POST /v1/companies/enrich returns every signal for honeywellaerospace.com.

{
  "signal_id": "2dbb812e-3d7b-58c0-83b9-35fdad78e32a",
  "signal_type": "patents-company",
  "signal_subtype": "patentGrant",
  "detected_at": "2026-09-30T17:17:03+00:00",
  "company": {
    "name": "Honeywell Aerospace",
    "domain": "honeywellaerospace.com"
  },
  "data": {
    "cpc": [
      {
        "code": "G06F 11/3688",
        "label": "Electric digital data processing"
      },
      {
        "code": "G06F 8/10",
        "label": "Electric digital data processing"
      },
      {
        "code": "G06F 40/20",
        "label": "Electric digital data processing"
      }
    ],
    "tags": [
      "Intellectual Property",
      "Research & Development",
      "Artificial Intelligence",
      "Machine Learning",
      "Quality Assurance"
    ],
    "detail": "In September 2026 Honeywell Aerospace patented technology for turning written software requirements into organized test cases, supporting verification in aerospace and other safety-critical systems.",
    "summary": "Honeywell Aerospace was granted a patent for AI-driven software testing.",
    "event_at": "2026-09-29",
    "inventors": [
      {
        "name": "Aralakuppe Ramegowda Yogesha",
        "status": "resolved",
        "is_primary": true,
        "linkedin_url": "https://www.linkedin.com/in/yogesha-aralakuppe-ramegowda-06849028"
      },
      {
        "name": "Jayakumar S S",
        "status": "resolved",
        "is_primary": false,
        "linkedin_url": "https://www.linkedin.com/in/jayakumar-ss-64ba6a2b"
      },
      {
        "name": "Srikanth Nagaraj",
        "status": "unresolved",
        "is_primary": false
      },
      {
        "name": "Pradeep Sadananda",
        "status": "resolved",
        "is_primary": false,
        "linkedin_url": "https://www.linkedin.com/in/pradeepsadananda"
      }
    ],
    "tech_area": "software / computing",
    "event_kind": "grant_date",
    "grant_date": "2026-09-29",
    "source_url": "https://patents.google.com/patent/US12748683",
    "cpc_primary": {
      "code": "G06F 11/3688",
      "label": "Electric digital data processing"
    },
    "patent_title": "Large language model analysis and grouping of software requirements to generate test cases for software testing",
    "patent_number": "US12748683",
    "uspto_assignee": "Honeywell Aerospace US LLC",
    "patent_abstract": "A system includes processor(s) configured to: receive natural language text describing software requirements for software program; analyze natural language text describing software requirements to identify relationships between different software requirements at least in part by: analyzing how data flows between different software requirements; analyzing how different software requirements influence path and decision points to achieve functionality identified by software requirements; and identifying dependencies between different software requirements; establish sequence for different software requirements based on relationships identified between different software requirements; group plurality of different software requirements together into logical group(s) of software requirements based on sequence for different software requirements and relationships between different software requirements; generate test cases based on logical group(s) of software requirements; execute software program using test cases; and analyze results of execution of software program using test cases to identify any defects in software program.",
    "precision_class": "structural",
    "invention_explanation": "A system that uses a language model to connect related requirements by following data flow and decision paths, then creates tests for the resulting software behavior.",
    "technologies_mentioned": [
      "large language models",
      "software testing",
      "requirements analysis",
      "test-case generation"
    ]
  }
}

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