Integration Flow Guideline Validation for Faster Compliance Checks
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Solution Overview
Problem
Ensuring compliance with numerous integration flow design guidelines in a cloud computing environment is a time-consuming, error-prone task that can lead to poorly designed flows, increased onboarding time for developers, and unnecessary infrastructure costs.
Innovation Solution
An integration flow design guidelines validator that automatically determines applicable guidelines, generates compliance results, and provides non-compliance analysis and recommendations using a data store and rule concept semantics.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual investigation and understanding of numerous integration flow design guidelines is performed, then compliance accuracy is improved, but time consumption and onboarding time increase significantly
Solution Approach 1:
The patent replaces manual mechanical review processes with an automated computer-based validation system. The system automatically analyzes integration flow models against design guidelines using algorithmic processing, eliminating the need for human reviewers to manually examine each guideline. This substitution of mechanical human analysis with automated computational validation achieves both high compliance accuracy and rapid validation throughput.
Solution Approach 2:
The validation system performs self-service by automatically determining which design guidelines are applicable to a given integration flow model without requiring human intervention. The system autonomously retrieves guidelines from the data store, analyzes the flow model, applies relevant guidelines, and generates compliance reports, enabling the validation process to serve itself without external human assistance.
2Reliability
If comprehensive design guidelines are established to ensure robust integration flows, then security and reliability are improved, but system complexity increases
Solution Approach 1:
The patent segments the comprehensive design guidelines into discrete, individually manageable records stored in a data store. Each guideline is represented as a separate electronic record with specific criteria and validation rules. This segmentation allows the complex set of guidelines to be organized, retrieved, and applied in a systematic manner, reducing the perceived complexity while maintaining comprehensive coverage for ensuring integration flow reliability.
3Reliability
If manual compliance checking is performed to ensure security standards, then security compliance is improved, but error rates and costs increase
Solution Approach 1:
The patent replaces manual security compliance checking with automated computational analysis. The system algorithmically evaluates integration flow models against security-related design guidelines, eliminating human errors associated with manual review. This automated approach ensures consistent application of security standards while reducing costs by eliminating the need for extensive manual security auditing.
Data Source
AI summary
A system associated with an enterprise cloud computing environment having an integration service may include an integration flow design guidelines data store that contains a plurality of electronic records, each record comprising an integration flow design guideline identifier and human-readable integration flow design guideline requirements. An integration flow design guideline validator may receive, from an integration developer, an integration flow model for the integration service defined in a standardized graphical notation protocol. The validator may then determine which integration flow design guideline requirements are applicable to the received integration flow model. The system automatically generates compliance results based on whether the received integration flow model complies with each applicable integration flow design guideline requirement using rule concept semantics. In addition, the validator may perform a non-compliance analysis, determine a non-compliance severity indication, generate at least one compliance recommendation, and/or provide an output to the integration developer.