Tree Graph Model for Automated Software Test Case Generation
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Solution Overview
Problem
Current methods for modeling and generating test requirements for software applications require highly specialized skills and significant time, making the process inefficient.
Innovation Solution
A computer-implemented method using a processor hosted on a server connected to a networked database and modeling tool, which retrieves software requirements, generates a tree graph model, analyzes it for complete path coverage, and automatically generates test paths and cases to uncover bugs or errors, facilitating automated software requirements testing and sensitization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If automated testing systems are implemented, then productivity and efficiency are improved, but device complexity increases
Solution Approach 1:
The patent introduces an intermediary system comprising a processor, networked database, and modeling tool that acts as a mediator between software requirements and test case generation. This intermediary automates the complex tasks of requirement analysis, test path generation, and test case creation, thereby improving productivity while managing system complexity through modular architecture.
Solution Approach 2:
The patent replaces manual mechanical processes of requirement modeling and test case development with automated computational systems. The processor executes algorithms to automatically generate test paths and test cases from software requirements, substituting human analysts' manual work with automated mechanical computation, thus enhancing productivity.
2Reliability
If comprehensive test coverage is achieved, then reliability is improved, but loss of time increases
Solution Approach 1:
The patent performs preliminary actions by automatically generating complete test paths and test cases from software requirements before actual testing begins. The system analyzes requirements, identifies all possible execution paths, and pre-generates comprehensive test cases, ensuring complete coverage is achieved without time loss during the actual testing execution phase.
Solution Approach 2:
The testing system performs self-service by automatically generating test cases and executing tests without requiring continuous human intervention. The processor autonomously analyzes requirements, generates test paths, creates test cases, and executes testing, thereby achieving comprehensive coverage while minimizing time loss through automated self-execution.
3Measurement precision
If specialized skills are required for testing, then measurement precision is improved, but ease of operation deteriorates
Solution Approach 1:
The system performs self-service by automatically analyzing software requirements and generating test cases without requiring human experts to manually perform these tasks. The processor executes algorithms that automatically extract testable conditions and generate comprehensive test cases, maintaining measurement precision through automated analysis while dramatically improving ease of operation by eliminating the need for specialized manual skills.
Solution Approach 2:
The patent replaces the mechanical process of skilled human analysts manually analyzing requirements and creating test cases with automated computational mechanisms. The processor executes algorithms that perform requirement analysis and test case generation, substituting human expertise with automated computation, thereby maintaining precision while improving accessibility for users without specialized skills.
Data Source
AI summary
Systems, methods, and computer-readable storage media are described for modeling the requirements of software to generate test requirements. In one exemplary embodiment, a computer-implemented method comprises generating a model of the requirements using a tree graph model, identifying primary paths of the tree graph model using an algorithm, and creating test cases based on the identified primary paths.