SpecForge

AI-Powered Formal Specifications

An AI-powered platform for developers to "forge" rigorous and precise system specifications through an iterative process of formalization and analysis.

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Clear Specs, Confident Systems

Challenges

While the evolution of AI is making systems more sophisticated, their increasing complexity and black-box nature are creating new challenges related to the development of specifications.

warning Ambiguous Requirement Specification: Frequent misinterpretations and misunderstandings lead to rework and inefficient development processes.

warning Deterioration of Quality and Productivity: Flaws in specifications directly lead to a decline in system quality and development productivity.

warning Lack of Reliability and Explainability: It is often difficult to logically investigate causes or explain operations when problems occur.

Formal Approach

'Formalization' is an approach to strictly and accurately describe system requirement specifications using mathematical notation (formal specification description languages).

check_circle Mathematically rigorous specifications eliminate ambiguity and contradictions, preventing misunderstandings among development teams.

check_circle Formal and logic-based technologies automate many quality assurance tasks, simultaneously improving both productivity and reliability.

check_circle The logical representation of specifications allows for constant data monitoring and explanation of system behavior.

Building Trust, Formally

SpecForge supports the process of starting with informal design intent and, through iterations of formalization and analysis, 'forging' it into unambiguous and refined formal specifications.

Extraction of Design Intent

Clarify informal requirement specifications and design intent expressed in natural language, diagrams, etc.

LLM-powered features to generate formal specifications from natural language descriptions.

Formal Specification

Describe the design intent as a formal specification based on STL (Signal Temporal Logic) using our DSL.

STL is well-suited for specifying systems that deal with continuous time and analog signals.

Formal Analysis and Verification

Analyze and verify consistency with data and other specifications to confirm that it aligns with the original intent.

We provide state-of-the-art formal analysis and verification capabilities.

Refinement and Improvement

Modify and improve the specification based on the analysis results. Repeat this cycle to rigorously develop and strengthen the specification.

Use Cases for Integration

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Reliable Specifications

Automatically verify if the created specifications match the intent by cross-referencing them with actual data and simulation results.

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Test Scenario Synthesis

Generate test scenarios from specs that visualize their meaning and validate the designer's intent.

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Stream Data Monitoring

Continuously monitor real-time data obtained from running systems against formal specifications to detect any discrepancies or abnormalities.

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Streamlined Delta Development

Develop specifications for new features while minimizing impact on existing ones by detecting conflicts and eliminating redundancy between specifications.

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System Behavior Analysis

Infer and characterize the behavior of data-driven systems as explainable formal specifications (rules) from their input and output data.

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Integration with Other Tools

Export created and verified formal specifications to various ALM (Application Lifecycle Management) and design tools for consistent utilization as design assets.

For demonstration requests, technical inquiries, or discussions about implementation,
please don't hesitate to get in touch.

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