Automated Test Script Generation from Natural Language
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Solution Overview
Problem
Current software testing methods are time-consuming, error-prone, and difficult to maintain, especially for complex systems, due to manual creation of test scripts and the need for programming expertise, with existing automated frameworks lacking flexibility and seamless integration with source control management.
Innovation Solution
A system that generates code for software testing from user descriptions using natural language processing, allowing users to describe test scripts in plain text or voice, with a processing engine that identifies relevant elements, generates structured representations, and produces executable code, while integrating with source control management for efficient version control.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If manual creation of test scripts is used, then flexibility and customization are improved, but time consumption and error rate increase
Solution Approach 1:
The system performs preliminary actions by automatically generating test scripts from existing source code, documentation, or test requirements before manual creation is needed. This preliminary automated generation reduces the time-consuming manual scripting work while maintaining flexibility through subsequent manual refinement options.
Solution Approach 2:
The patent introduces an intermediary system that acts as a bridge between high-level test requirements and detailed test scripts. This intermediary automatically generates intermediate test script drafts that can then be reviewed and refined manually, combining the speed of automation with the flexibility of manual customization.
2Adaptability or versatility
If manual creation of test scripts is used, then customization capability is improved, but maintenance difficulty increases
Solution Approach 1:
The system implements feedback mechanisms that automatically detect changes in source code and corresponding test scripts. When source code is modified, the system provides feedback to identify affected test scripts and automatically updates them or flags them for review, significantly reducing maintenance difficulty while preserving customization capability.
Solution Approach 2:
The patent enables self-service maintenance through automated test script generation and update capabilities. The system serves itself by automatically regenerating test scripts from updated source code or requirements, reducing the need for manual maintenance intervention while maintaining customization through the ability to review and adjust generated scripts.
3Reliability
If programming expertise is required for test script creation, then test script quality is improved, but accessibility and ease of use worsen
Solution Approach 1:
The patent introduces an intermediary system that translates high-level test requirements or natural language descriptions into programming-language test scripts. This intermediary handles the complexity of programming syntax and logic, allowing users without programming expertise to create quality test scripts by simply describing what they want to test.
Solution Approach 2:
The system replaces the mechanical requirement for programming knowledge with an automated translation mechanism. Instead of requiring users to manually write and debug programming code, the system substitutes this mechanical programming task with an automated process that generates equivalent test scripts from non-programming inputs, maintaining quality while improving accessibility.
4Extent of automation
If existing automated testing frameworks are used, then automation level is improved, but flexibility and integration capability worsen
Solution Approach 1:
The patent implements a dynamic system that adapts to different project requirements, codebases, and testing needs. Rather than being constrained by a fixed automated framework, the system dynamically generates test scripts tailored to the specific context, combining high automation levels with the flexibility to handle diverse and complex testing scenarios.
Solution Approach 2:
The system employs parameter changes by allowing configuration of various test generation parameters such as test depth, coverage criteria, scripting language preferences, and integration options. This enables the same automated system to adapt to different projects and requirements, maintaining high automation while providing flexibility through parameter adjustment rather than framework selection.
Data Source
AI summary
Systems and methods provide an intelligent process for software testing and development. In one embodiment, the system: receives a user description of a test script, the description including one or more test cases defining specific tests to be executed; processes the user description using a description processing component, the description processing component configured to identify elements within the user description relevant to test script and test case generation, and generate a structured representation of the user description based on the identified elements; utilizes the structured representation to generate code for the test script; provides the user with an option to review and update the generated code and test cases; generates test data suitable for executing the generated test script; executes the generated test script and test cases using the test data; collects test results associated with the execution; and presents the test results to the user.