Automated Testing Workflow Management via Session Data
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Solution Overview
Problem
Current software testing solutions are not user-friendly, require high technical knowledge, and lack visual intuitiveness, leading to inefficiencies and reliability issues in generating and executing automated testing workflows.
Innovation Solution
The development of methods and systems for generating automated testing workflow data entities based on session data, integrating nestable workflow modifications, and creating execution logs, which are user-friendly and intuitive, allowing for efficient and reliable software testing operations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If traditional software testing solutions are used, then testing operations can be performed, but the solutions are not user-friendly and require high technical knowledge
Solution Approach 1:
The patent introduces an automated testing workflow data entity that serves as an intermediary between the user and the complex testing system. This entity encapsulates technical complexity internally while presenting a simplified interface to users, allowing them to perform testing operations without requiring deep technical knowledge of the underlying system architecture and processes.
Solution Approach 2:
The patent implements feedback mechanisms through execution logs and workflow visualization that provide users with clear, actionable information about testing results. This feedback loop enables users to understand system behavior and make informed decisions without needing to interpret complex technical data, thereby improving ease of operation.
2Productivity
If traditional automated testing workflows are generated, then testing can be automated, but the processes are inefficient and prone to errors
Solution Approach 1:
The patent performs preliminary actions by pre-defining the structure and properties of automated testing workflow data entities before execution. This includes establishing validation rules, data types, and relationships in advance, which prevents errors during execution and improves reliability while maintaining efficiency through structured processing.
Solution Approach 2:
The patent replaces manual, error-prone mechanical processes with automated computational processes. The system automatically generates, validates, and executes testing workflows using computational algorithms that eliminate human errors in workflow creation and execution, thereby improving both efficiency and reliability.
3Reliability
If comprehensive testing workflows are created, then testing coverage is improved, but the cost of test automation platforms increases
Solution Approach 1:
The patent segments testing workflows into modular, reusable data entities that can be independently created, validated, and executed. This segmentation allows comprehensive testing coverage to be achieved through composition of smaller, manageable units rather than requiring expensive monolithic testing systems, thereby reducing costs while maintaining high reliability.
Solution Approach 2:
The patent creates universal automated testing workflow data entities that can serve multiple testing purposes and be reused across different testing scenarios. This multi-functionality reduces the need for separate specialized testing tools and platforms, lowering overall costs while maintaining comprehensive testing coverage and accuracy.
Data Source
AI summary
Various embodiments of the present invention provide methods, apparatuses, systems, computing devices, computing entities, and/or the like for executing efficient and techniques for generating automated testing workflow data entities based at least in part on session data entities, integrating nestable automated testing workflow data entities based at least in part on session data entities into integrative automated testing workflow data entities based at least in part on session data entities, and generating execution longs for automated testing workflow data entities based at least in part on session data entities.